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CN111553808B - Index information display method and device for wind power plant and storage medium - Google Patents

Index information display method and device for wind power plant and storage medium Download PDF

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CN111553808B
CN111553808B CN201911409001.0A CN201911409001A CN111553808B CN 111553808 B CN111553808 B CN 111553808B CN 201911409001 A CN201911409001 A CN 201911409001A CN 111553808 B CN111553808 B CN 111553808B
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fan
time
fan device
electric quantity
power plant
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CN111553808A (en
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罗浩
夏士兵
林小进
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The disclosure discloses an index information display method, device and storage medium for a wind farm, wherein the method comprises the following steps: the method comprises the steps of obtaining historical data information of at least one fan device in a wind power plant, determining power generation index information of the at least one fan device and power generation index information of the wind power plant according to the historical data information of the at least one fan device, determining the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind power plant according to time information in the historical data information of the at least one fan device, and finally displaying the power generation index information of the at least one fan device, the power generation index information of the wind power plant and the credibility. Through the scheme, the power generation condition of the wind power plant can be displayed more comprehensively, the problem that the state of the wind power plant is displayed incompletely is solved, and the comprehensiveness of the display of the index information of the wind power plant is improved.

Description

Index information display method and device for wind power plant and storage medium
Technical Field
The invention relates to the technical field of wind power generation, in particular to a method and a device for displaying index information of a wind farm and a storage medium.
Background
Today, with the increasing development of wind power generation technology, the power generation situation of each wind farm and the power generation situation of each fan in the wind farm need to be evaluated and presented to the user.
In the related art, by collecting the operation data of each fan and the wind power plant within a period of time, the loss electric quantity, the energy availability and the time availability of the generator set of each fan and the wind power plant can be calculated by using the operation data, and any one of the three data is selected as an index for evaluating the power generation condition to be displayed.
However, in the scheme in the related art, any one of the loss electric quantity, the energy availability and the time availability of the generator set is selected as an index to display the power generation condition of the wind farm and the fans, and the situation that the power generation condition of each fan is displayed too on one side of the wind farm is unavoidable, which affects the accuracy of displaying the state of the wind farm.
Disclosure of Invention
The disclosure provides an index information display method, device and storage medium for a wind farm. The technical scheme is as follows:
according to a first aspect of an embodiment of the present disclosure, there is provided a method for displaying index information of a wind farm, including:
Acquiring historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state;
determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity;
determining the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind farm according to the time information in the historical data information of the at least one fan device;
and displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility.
Optionally, the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan;
the time information includes: total time, no connection time, no calculation time, and unavailable time.
Optionally, in response to the index information including at least the energy availability EBA, the determining the power generation index information of the at least one fan device according to the historical data information of the at least one fan device, and the power generation index information of the wind farm includes:
The actual power generation amount and the theoretical power generation amount of each fan device are compared to obtain the energy availability EBA of each fan device;
and (3) comparing the sum of the actual power generation amount of the at least one fan device and the sum of the theoretical power generation amount of the at least one fan device in the wind power plant to obtain the energy availability EBA of the wind power plant.
Optionally, in response to the index information at least including the energy availability EBA, determining, according to time information in the historical data information of the at least one fan device, power generation index information of the at least one fan device, and respective credibility of the power generation index information of the wind farm includes:
acquiring the EBA credibility of each fan device according to the ratio of the connectionless time to the total time of each fan device;
and acquiring the EBA credibility of the wind power plant according to the ratio of the average value of the connectionless time of the at least one fan device to the total time.
Optionally, in response to the indicator information including at least the time availability TBA, the determining, according to the historical data information of the at least one fan device, power generation indicator information of the at least one fan device, and power generation indicator information of the wind farm includes:
Comparing the difference value of the total time, the unavailable time and the non-calculated time of each fan device with the difference value of the total time and the non-calculated time of each fan device to obtain a time availability TBA of each fan device;
averaging the unavailable time of the at least one fan device in the wind power plant to obtain an unavailable time average;
averaging the non-calculated time of the at least one fan device in the wind power plant to obtain a non-calculated time average;
and comparing the difference value between the total time and a first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
Optionally, the determining, according to the time information in the historical data information of the at least one fan device, the power generation index information of the at least one fan device and the respective credibility of the power generation index information of the wind farm, wherein the response index information at least includes the time availability TBA includes:
According to the ratio of the uncomputed time to the total time of each fan device, the TBA credibility of each fan device is obtained;
and obtaining the TBA credibility of the wind power plant according to the ratio of the average value of the non-calculated time of the at least one fan device to the total time.
Optionally, the displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability includes:
and sequencing the fan equipment and the wind power plant according to the power generation conditions according to the preset weight and the corresponding credibility of each power generation index information.
According to a second aspect of the embodiments of the present disclosure, there is provided an index information display device of a wind farm, wherein the device includes:
the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring historical data information of at least one fan device in a wind power plant, and the historical data information comprises generating capacity information and time information in each generating state;
the index determining module is used for determining power generation index information of the at least one fan device and power generation index information of the wind farm according to the historical data information of the at least one fan device; the power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity;
The credibility determining module is used for determining the credibility of each of the power generation index information of the at least one fan device and the power generation index information of the wind power plant according to the time information in the historical data information of the at least one fan device;
the information display module is used for displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility.
Optionally, the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan;
the time information includes: total time, no connection time, no calculation time, and unavailable time.
Optionally, in response to the index information including at least the energy availability EBA, the index determining module includes:
the first index obtaining submodule is used for comparing the actual power generation amount of each fan device with the theoretical power generation amount to obtain the energy availability EBA of each fan device;
and the first full-field index acquisition submodule is used for obtaining the energy availability EBA of the wind power plant by taking the sum of the actual power generation amount of the at least one fan device and the sum of the theoretical power generation amount of the at least one fan device in the wind power plant as a ratio.
Optionally, in response to the index information including at least the energy availability EBA, the reliability determining module includes:
the first reliability acquisition sub-module is used for acquiring the EBA reliability of each fan device according to the ratio of the connectionless time to the total time of each fan device;
and the first full-farm reliability acquisition sub-module is used for acquiring the EBA reliability of the wind farm according to the ratio of the average value of the connectionless time of the at least one fan device to the total time.
Optionally, in response to the indicator information including at least the time availability TBA, the indicator determination module includes:
the second instruction obtaining sub-module is used for comparing the difference value of the total time, the unavailable time and the non-calculated time of each fan device with the difference value of the total time and the non-calculated time of each fan device to obtain the time availability TBA of each fan device;
the first mean value obtaining submodule is used for taking the unavailable time of the at least one fan device in the wind power plant as a mean value to obtain an unavailable time mean value;
the second average value obtaining submodule is used for taking the non-calculation time of the at least one fan device in the wind power plant as an average value to obtain a non-calculation time average value;
And the second full-field index acquisition submodule is used for comparing the difference value between the total time and the first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
Optionally, the responding to the index information at least includes the time availability TBA, and the reliability determining module includes:
the second credibility acquisition sub-module is used for acquiring TBA credibility of each fan device according to the ratio of the uncomputed time to the total time of each fan device;
and the second full-farm reliability acquisition sub-module is used for acquiring the TBA reliability of the wind farm according to the ratio of the average value of the non-calculated time of the at least one fan device to the total time.
Optionally, the information display module includes:
and the information sequencing sub-module is used for sequencing the fan equipment and the wind power plant according to the power generation conditions according to the preset weight and the corresponding credibility of each power generation index information.
According to a third aspect of embodiments of the present disclosure, there is provided an index information display apparatus of a wind farm, the apparatus including:
A processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to:
acquiring historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state;
determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity;
determining the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind farm according to the time information in the historical data information of the at least one fan device;
and displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer device readable storage medium, where the computer device readable storage medium contains executable instructions, where the executable instructions are called by a processor to implement the method for displaying index information of a wind farm according to the first aspect or any of the alternatives of the first aspect.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
the method comprises the steps of obtaining historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state, determining generating index information of the at least one fan device and generating index information of the wind power plant according to the historical data information of the at least one fan device, wherein the generating index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity, determining generating index information of the at least one fan device and respective credibility of the generating index information of the wind power plant according to the time information of the historical data information of the at least one fan device, and finally displaying the generating index information of the at least one fan device, the generating index information of the wind power plant and the credibility. Through the scheme, the three index information and the credibility corresponding to the three index information can be determined, so that the power generation condition of the wind power plant is displayed more comprehensively, the problem that the evaluation quality of the state of the wind power plant is not high and the display is not comprehensive enough is solved, and the comprehensiveness of the display of the index information of the wind power plant is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram of an index information presentation system, according to an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a method of displaying index information of a wind farm according to an exemplary embodiment;
FIG. 3 is a flowchart illustrating a method of displaying index information of a wind farm, according to an example embodiment;
FIG. 4 is a flowchart illustrating a method of displaying index information of a wind farm according to another exemplary embodiment;
FIG. 5 is a schematic diagram of a time frame corresponding to a non-failed shut down of a fan apparatus according to the embodiment of FIG. 4;
FIG. 6 is a schematic diagram of a non-maintenance shutdown of a fan apparatus corresponding to the embodiment of FIG. 4;
FIG. 7 is a schematic illustration of the time ranges associated with a non-maintenance and non-failure induced manual shutdown in accordance with the embodiment of FIG. 4;
FIG. 8 is a schematic diagram of a page directly displayed on the page with EBA as an indicator and corresponding reliability according to the embodiment shown in FIG. 4;
FIG. 9 is a block diagram of an index information presentation device of a wind farm, according to an example embodiment;
fig. 10 is a schematic diagram of a computer device, according to an example embodiment.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
It should be understood that references herein to "a number" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
For ease of understanding, terms involved in embodiments of the present application are described below.
1) Wind farm energy availability (Energy Based Availability, EBA)
The energy availability of the wind farm is used for measuring the production efficiency of the wind farm.
2) Wind farm time availability (Time Based Availability, TBA)
The wind field time availability is used for measuring the normal working time of the wind field generator set.
3) Wind field loss of electricity
The wind field loss electric quantity mainly comprises the loss electric quantity of the wind field fan in fault, power limiting and full-field power limiting states, and the wind field fan fault reason is analyzed.
Fig. 1 is a schematic diagram of an index information presentation system according to an exemplary embodiment. The index information display system comprises at least one wind farm 120, at least one fan 110 and computer equipment 130, wherein the at least one wind farm 120 comprises at least one fan.
A system is installed in the computer device 130 that can collect operational data of the wind turbines 110 as well as the wind farm 120.
At least one fan 110 is connected to the computer device 130 via a wired or wireless network.
Alternatively, the wired or wireless network described above uses standard communication techniques and/or protocols. The network is typically the Internet, but may be any network including, but not limited to, a local area network (Local Area Network, LAN), metropolitan area network (Metropolitan Area Network, MAN), wide area network (Wide Area Network, WAN), mobile, wireless network, private network, or any combination of virtual private networks. In some embodiments, data exchanged over the network is represented using techniques and/or formats including HyperText Mark-up Language (HTML), extensible markup Language (Extensible Markup Language, XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as secure socket layer (Secure Socket Layer, SSL), transport layer security (Transport Layer Security, TLS), virtual private network (Virtual Private Network, VPN), internet protocol security (Internet Protocol Security, IPsec), and the like. In other embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.
Fig. 2 is a schematic diagram of a method for displaying index information of a wind farm according to an exemplary embodiment, as shown in fig. 2, in a process of running the wind farm, running data of each fan may be uploaded to a computer device, where the running data may be data of actual power generation capacity, wind speed, fan state, theoretical power of the fan, and the like of the fan, a user selects a time range to perform query on power generation conditions of each fan and the wind farm, and the computer device may obtain connectionless time in the time range, where the fan state in the connectionless time range is a sum of duration of connectionless and unknown two states.
1) The energy availability eba=actual power generation amount/theoretical power generation amount in the time range, the reliability of the EBA index is set to be 1-the connectionless time/total time, and the EBA in the time range and the reliability of the EBA index can be calculated.
2) The computer device may obtain a fan unavailable time and an uncomputed time within the time range, where the fan unavailable time includes: the time of 4 fan states of fault shutdown, fan fault, fan overhaul and maintenance shutdown is not calculated, and the non-calculation time mainly refers to the time of the fan in an unknown state, and the non-calculation time = the time of a connectionless state caused by non-fault shutdown and non-maintenance shutdown + the time of a manual shutdown caused by non-maintenance and fault shutdown. The time availability tba= (total time-unavailable time-uncomputed time)/(total time-uncomputed time) within the time range, the reliability of the TBA index is set to 1-uncomputed time/total time, wherein the connectionless state time caused by non-failed down and non-maintenance down = connectionless time caused by maintenance down-connectionless time caused by failed down within the statistical time range, and the reliability of the TBA index can be calculated.
3) The computer device may obtain a theoretical power generation amount in a fan fault loss electric quantity=fan fault shutdown and fan maintenance time range, a fan limit electric quantity loss=a theoretical power generation amount-an actual power generation amount during a fan limit power operation and a limit power shutdown, and may set a fan fault loss electric quantity reliability=1-a connection-free time/total time caused by a fan fault, a fan limit power loss electric quantity reliability=1-a connection-free time/total time caused by a fan limit electric quantity, a fan loss electric quantity=a fan limit electric quantity+a fan fault loss electric quantity, a fan loss electric quantity reliability= (a fan limit electric quantity power reliability+a fan limit electric quantity+a fan fault reliability power loss electric quantity)/a fan loss electric quantity.
The EBA, TBA, loss electric quantity index and the respective credibility of the whole wind power plant can be determined by the EBA, TBA, loss electric quantity index and the respective credibility of the wind power plant.
The user can judge the power generation condition of one fan or one wind field through three different dimensions of EBA, TBA and lost electric quantity, and the user is focused on the fact that the user is interested in the dimension of the three dimensions, the user can inquire according to the dimension of interest of the user, then index sequencing is performed on the value of each wind field, and the probability of the wind field counterfeiting is reflected through the corresponding credibility. The comprehensive score can be finally obtained through index weighted sequencing, and the fan performance and the wind field efficiency are measured through three different latitudes, so that the comprehensive score is obtained.
Fig. 3 is a flowchart illustrating a method for displaying index information of a wind farm according to an exemplary embodiment. The index information display method of the wind farm can be applied to an index information display system, fan equipment, the wind farm and computer equipment exist in the index information display system, and the method is executed by the computer equipment. For example, the fan apparatus may be any of the fan apparatuses 110 shown in fig. 1, the wind farm may be any of the wind farms 120 shown in fig. 1, and the computer apparatus may be the computer apparatus 130 shown in fig. 1. As shown in fig. 3, the method for displaying index information of a wind farm may include the following steps:
in step 301, historical data information of at least one fan device in a wind farm is obtained, the historical data information including power generation amount information and time information in each power generation state.
In step 302, determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information includes at least one of an energy availability EBA, a time availability TBA, and a lost power.
In step 303, the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind farm is determined according to the time information in the historical data information of the at least one fan device.
In step 304, the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability are displayed.
In summary, according to the method for displaying index information of a wind farm provided in the embodiments of the present disclosure, historical data information of at least one fan device in the wind farm is obtained, where the historical data information includes power generation amount information and time information in each power generation state, then power generation index information of the at least one fan device and power generation index information of the wind farm are determined according to the historical data information of the at least one fan device, the power generation index information includes at least one of energy availability EBA, time availability TBA and lost power, then power generation index information of the at least one fan device and respective credibility of the power generation index information of the wind farm are determined according to the time information in the historical data information of the at least one fan device, and finally the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility are displayed. Through the scheme, the three index information and the credibility corresponding to the three index information can be determined, so that the power generation condition of the wind power plant is displayed more comprehensively, the problem that the evaluation quality of the state of the wind power plant is not high and the display is not comprehensive enough is solved, and the comprehensiveness of the display of the index information of the wind power plant is improved.
Fig. 4 is a flowchart illustrating a method for displaying index information of a wind farm according to another exemplary embodiment, where the method for displaying index information of a wind farm may be applied to an index information display system, where a fan device, a wind farm, and a computer device are present, and the method is performed by the computer device. For example, the fan apparatus may be any of the fan apparatuses 110 shown in fig. 1, the wind farm may be any of the wind farms 120 shown in fig. 1, and the computer apparatus may be the computer apparatus 130 shown in fig. 1. As shown in fig. 4, the method for displaying index information of a wind farm may include the following steps:
in step 401, a computer device obtains historical data information for at least one fan device in a wind farm.
In the embodiment of the disclosure, the computer device may collect the historical data information of at least one fan device monitored by the computer device through a special system for wind farm data collection.
Wherein the historical data information includes operational data information and time data information, the wind farm being comprised of the at least one wind turbine device. The history data information includes power generation amount information, and time information in each power generation state, wherein the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan; the time information includes: total time, no connection time, no calculation time, and unavailable time.
Alternatively, the computer device may sample data in the SCADA (Supervisory Control And Data Acquisition, data acquisition and monitoring control system), and the obtained sampled data is the historical data information.
Alternatively, the user may enter a time frame in the private system, which is a period of time that requires querying the historical data information.
For example, if the user needs to evaluate the running condition of the fan equipment in 10 th month 1 of 2019 and the power generation condition of the wind farm, inputting 0 point in 10 th month 1 of 2019 to 0 point in 10 th month 2 of 2019 as a time range in the special system, and querying the actual power generation amount and the theoretical power generation amount of each fan equipment which can be monitored by the computer equipment in the time range, and the connectionless time, the uncomputed time and the unavailable time of each fan equipment in the running process. According to the obtained historical data information of each fan device, the actual power generation amount and the theoretical power generation amount of the whole wind power plant formed by each fan device can be obtained, and the average connectionless time, the average non-calculation time and the average unavailable time of the wind power plant in the production process can be obtained.
In step 402, the computer device determines power generation index information for the at least one fan device, and power generation index information for the wind farm, based on historical data information for the at least one fan device.
In the embodiment of the disclosure, the computer equipment determines index information of each fan equipment according to at least one data information of actual power generation amount, theoretical power generation amount, connectionless time, non-calculation time and unavailable time of each fan equipment, and determines index information of a wind farm formed by each fan equipment according to historical data information of each fan equipment.
The power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity. The method for determining three power generation index information according to the historical data information of each fan device is as follows:
1) The power generation index information is the energy availability EBA
Optionally, when the index information at least includes the energy availability EBA, the actual power generation amount of each fan device is compared with the theoretical power generation amount to obtain the energy availability EBA of each fan device, and the sum of the actual power generation amounts of the at least one fan device and the theoretical power generation amount of the at least one fan device in the wind farm is compared to obtain the energy availability EBA of the wind farm.
Wherein eba= (actual power generation amount of the fan apparatus)/(theoretical power generation amount of the fan apparatus). Eba=sum (actual power generation per fan in the wind farm)/sum (theoretical power generation per fan in the wind farm).
For example, when the actual power generation amount of the fan apparatus is a and the theoretical power generation amount of the fan apparatus is B, eba=a/B of the fan apparatus. When a wind farm includes three fan devices, and the actual power generation amounts are C, D and E, respectively, and the theoretical power generation amounts are F, G and H, EBA of the wind farm is (c+d+e)/(f+g+h).
The energy availability EBA of the wind power plant is index information used for measuring the production efficiency of the wind power plant, and the larger the EBA value is, the higher the power generation efficiency of the wind power plant is.
2) The power generation index information is the time availability TBA
Optionally, when the index information at least includes the time availability TBA, comparing a difference value between the total time, the unavailable time and the non-calculated time of each fan device with a difference value between the total time and the non-calculated time of each fan device to obtain a time availability TBA of each fan device, and taking the unavailable time of the at least one fan device in the wind farm as an average value to obtain an unavailable time average value; averaging the non-calculated time of the at least one fan device in the wind farm to obtain a non-calculated time average; and comparing the difference value between the total time and the first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
Wherein tba= (total time-available time-not calculated time)/(total time-not calculated time) of the fan device. Eba=1 of the wind farm-average of time unavailable to each fan device in the wind farm/(total time-average of time not calculated by each fan device in the wind farm).
Wherein, no calculation time = no connection state time caused by non-faulty shutdown and non-maintenance shutdown + manual shutdown time caused by non-maintenance and fault.
For example, fig. 5 is a schematic diagram of a time range corresponding to a non-faulty shutdown of a fan apparatus according to the present embodiment, and the non-connection state of the fan apparatus is divided into two types, one type is a non-connection state time caused by the non-faulty shutdown and the non-maintenance shutdown, and the other type is a non-connection time caused by the faulty shutdown. Wherein, the connectionless state time caused by non-fault shutdown and non-maintenance shutdown = the connectionless time caused by maintenance shutdown-the connectionless time caused by fault shutdown within the time range, wherein, the connectionless time = the unknown state time + the connectionless state time, the state of the operation process of the fan device and the corresponding time range are as shown in fig. 5, the sum of the unknown state and the connectionless state time equals the connectionless time, the connectionless time = t2+t3+t4+t6.
The connectionless time caused by the shutdown is a time when the state of the fan apparatus immediately after the shutdown state is an unknown state or a connectionless state until the state of the fan apparatus becomes the unknown state and the connected state, as the connectionless time caused by the shutdown. For example, as shown in fig. 5, the connectionless time=t2+t3+t4 caused by the failed shutdown.
Similarly, fig. 6 is a schematic diagram of a time range corresponding to a non-maintenance shutdown of a fan apparatus according to the present embodiment, in which the non-connection time caused by the maintenance shutdown is the non-unknown state or the non-connection state of the fan apparatus immediately after the maintenance shutdown state, until the state of the fan apparatus becomes the non-unknown state and the connection-present state, which is the non-connection time caused by the maintenance shutdown. For example, as shown in fig. 5, the connectionless time=t2+t4+t5 caused by maintenance stoppage.
In addition, the non-maintenance and non-failure induced manual downtime = statistical time range in which the fan status is the time of manual downtime-maintenance downtime-failure downtime. Fig. 7 is a schematic diagram of a time range corresponding to a non-maintenance and non-failure-induced manual shutdown according to the present embodiment, as shown in fig. 7, manual shutdown time=t2+t5+t7. Wherein the manual downtime caused by the maintenance downtime is a time range in which the state immediately after the maintenance downtime is a manual downtime until the fan state is a non-manual downtime state, for example, as shown in fig. 7, the manual downtime caused by the maintenance downtime=t2. The state immediately after the fail-stop-caused manual stop time is a manual stop until the fan apparatus state is a time range of the non-manual stop state, for example, as shown in fig. 7, the fail-stop-caused manual stop time=t7.
The time availability TBA of the wind power plant is index information used for measuring the normal working time of a generator set of the wind power plant, and the larger the TBA value is, the higher the power generation efficiency of the wind power plant is.
3) The power generation index information is the lost electric quantity
Optionally, when the index information at least comprises the lost electric quantity, taking the sum of theoretical generated energy in a fan fault shutdown time range and a fan maintenance time range as the fan fault lost electric quantity; the sum of theoretical power generation capacity and actual power generation capacity in the power limiting operation and power limiting shutdown time range of the fan are subjected to difference value, and the power loss electric quantity of the fan is determined; taking the sum of the fan fault loss electric quantity and the fan limited power loss electric quantity as the loss electric quantity of the fan equipment; and determining the lost electric quantity of the wind farm according to the lost electric quantity of the fan equipment.
Wherein, fan fault loss electric quantity=theoretical generated energy in the fan fault shutdown and fan maintenance time range, fan electricity limiting loss electric quantity=theoretical generated energy-actual generated energy during fan power limiting operation and power limiting shutdown. Lost power of fan equipment = fan electricity limiting lost power + fan fault lost power.
Wherein, the full wind farm electricity limiting loss electricity quantity=max (sum of full wind farm fan theoretical electricity quantity within the full wind farm electricity limiting time range-power limiting set value time, 0); full wind farm fan fault loss electric quantity=min (min (sum of full wind farm fan theoretical electric energy generation amount, full wind farm power limit electric energy) -sum of full farm fan actual electric energy generation amount), sum of full wind farm fan fault shutdown loss electric quantity; full wind farm lost electricity = full wind farm electricity limiting lost electricity + full wind farm fault lost electricity.
The lost electric quantity of the wind power plant comprises the lost electric quantity of the fan equipment in the fault, power limit and full-field power limit states, and is mainly used for analyzing index information of the cause of the fault of the fan equipment of the wind power plant, and the smaller the lost electric quantity value is, the higher the power generation efficiency of the wind power plant is.
In step 403, the computer device determines, according to the time information in the historical data information of the at least one fan device, the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind farm.
In the embodiment of the disclosure, in order to increase the actual credibility of each index information, the computer device sets different credibility calculation methods for each index information, and calculates the credibility of each index information according to the time data information.
The reliability is used for representing the difference between the running condition and the actual running condition of the fan equipment and the wind farm displayed by the index information.
Alternatively, the larger the value of the credibility is, the smaller the difference between the calculation result of the corresponding index information and the actual running condition is.
The calculation method for determining the reliability of the index information energy availability EBA, the time availability TBA and the lost electric quantity is as follows:
1) Reliability of energy availability EBA
Optionally, the computer device obtains the EBA credibility of each fan device according to the ratio of the connectionless time to the total time of each fan device, and obtains the EBA credibility of the wind farm according to the ratio of the average value of the connectionless time to the total time of the at least one fan device.
Optionally, the reliability of the energy availability EBA is determined by the connectionless time.
Wherein, the reliability of EBA index=1-connectionless time/total time. Wind farm EBA reliability = 1-average/total time of fan equipment connectionless time under the wind farm.
2) Reliability of time availability TBA
Optionally, the computer device obtains the reliability of the TBA of each fan device according to the ratio of the non-calculation time to the total time of each fan device; and obtaining the TBA credibility of the wind power plant according to the ratio of the average value of the non-calculated time of the at least one fan device to the total time.
Optionally, the confidence level of the time availability TBA is determined by the non-calculation time.
Where the confidence level of the TBA indicator = 1-no time/total time calculated. Wind farm TBA reliability = 1-average/total time of fan non-calculated time under the wind farm.
3) Reliability of lost electric quantity
Optionally, the reliability of the lost power is determined by the connectionless time.
Where fan failure loses power reliability = 1-no connection time/total time due to fan failure. Fan limit power loss power confidence = 1-fan limit induced connectionless time/total time. Wind farm electricity limiting loss power reliability = 1-no connection time/total time. Wind farm fault loss power reliability = 1-no connection time/total time. Fan loss electric quantity reliability= (fan electricity limit electric quantity loss + fan fault reliability x fan fault electric quantity loss)/fan loss electric quantity; if the lost power is 0, the reliability is 1. Wind farm loss power reliability= (wind farm electricity limit reliability wind farm electricity limit loss power + wind farm fault reliability wind farm fault loss power)/wind farm loss power. If the lost power is 0, the reliability is 1. Total time = number of fans x statistical time range.
In step 404, the computer device displays the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability.
In the embodiment of the disclosure, the computer device may directly display each index information and the corresponding reliability on a display interface of the computer device, and the user may check and analyze the index information, or may set a predetermined weight for each index information, rank each fan device according to the power generation power according to the predetermined weight and the reliability, rank each wind farm according to the power generation power condition, and display the ranking result on the display interface.
Optionally, the computer device orders the fan device and the wind farm according to the power generation power conditions according to the preset weight and the corresponding credibility set by each power generation index information.
Fig. 8 is a schematic diagram of a page directly displayed on a page with EBA as an index and corresponding reliability, where, as shown in fig. 8, the page may be displayed in a form of a table, and includes historical data information such as actual power generation amount, theoretical power generation amount, connectionless time and the like required by calculating EBA, a control for selecting a time range, and a control for selecting a querying fan or a wind farm, and may be queried and derived.
Optionally, the computer device may rank by index weighting, and finally obtain a composite score, measure fan performance and wind farm efficiency by three indexes, and calculate the composite score.
For example, a user may set a weight w for each index, a fan composite score=w1×normalized eba+w2×normalized tba×tba reliability+w3×normalized lost power×lost power reliability, where w1+w2+w3=1, the EBA of the normalized fan= (current fan EBA-query minimum EBA)/(query maximum EBA) query minimum EBA of all fans), the normalized TBA and EBA, and the normalized lost power=1- (current fan lost power-query minimum lost power)/(query maximum total fan minimum lost power), and finally obtain a composite score. Similarly, the method can be applied to wind power plants, the comprehensive score of each wind power plant is calculated, and each wind power plant is compared.
In summary, according to the method for displaying index information of a wind farm provided in the embodiments of the present disclosure, historical data information of at least one fan device in the wind farm is obtained, where the historical data information includes power generation amount information and time information in each power generation state, then power generation index information of the at least one fan device and power generation index information of the wind farm are determined according to the historical data information of the at least one fan device, the power generation index information includes at least one of energy availability EBA, time availability TBA and lost power, then power generation index information of the at least one fan device and respective credibility of the power generation index information of the wind farm are determined according to the time information in the historical data information of the at least one fan device, and finally the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility are displayed. Through the scheme, the three index information and the credibility corresponding to the three index information can be determined, so that the power generation condition of the wind power plant is displayed more comprehensively, the problem that the evaluation quality of the state of the wind power plant is not high and the display is not comprehensive enough is solved, and the comprehensiveness of the display of the index information of the wind power plant is improved.
Fig. 9 is a block diagram of an indicator information presentation apparatus of a wind farm according to an exemplary embodiment, and as shown in fig. 9, the indicator information presentation apparatus of a wind farm may be implemented as all or part of a computer device by hardware or a combination of hardware and software to perform the steps shown in any of the embodiments shown in fig. 3 or fig. 4. For example, the system may be the index information presentation system shown in FIG. 1, the fan apparatus may be the fan apparatus 110 shown in FIG. 1, the wind farm may be the wind farm 120 shown in FIG. 1, and the computer apparatus may be the computer apparatus 130 shown in FIG. 1. The index information display device of the wind farm can comprise:
a data acquisition module 910, configured to acquire historical data information of at least one fan device in a wind farm, where the historical data information includes power generation amount information and time information in each power generation state;
an index determining module 920, configured to determine power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity;
A reliability determining module 930, configured to determine, according to time information in the historical data information of the at least one fan device, respective reliability of power generation index information of the at least one fan device and power generation index information of the wind farm;
and the information display module 940 is configured to display the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability.
Optionally, the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan;
the time information includes: total time, no connection time, no calculation time, and unavailable time.
Optionally, in response to the index information including at least the energy availability EBA, the index determining module 920 includes:
the first index obtaining submodule is used for comparing the actual power generation amount of each fan device with the theoretical power generation amount to obtain the energy availability EBA of each fan device;
and the first full-field index acquisition submodule is used for obtaining the energy availability EBA of the wind power plant by taking the sum of the actual power generation amount of the at least one fan device and the sum of the theoretical power generation amount of the at least one fan device in the wind power plant as a ratio.
Optionally, in response to the index information including at least the energy availability EBA, the reliability determining module 930 includes:
the first reliability acquisition sub-module is used for acquiring the EBA reliability of each fan device according to the ratio of the connectionless time to the total time of each fan device;
and the first full-farm reliability acquisition sub-module is used for acquiring the EBA reliability of the wind farm according to the ratio of the average value of the connectionless time of the at least one fan device to the total time.
Optionally, in response to the indicator information including at least the time availability TBA, the indicator determination module 920 includes:
the second instruction obtaining sub-module is used for comparing the difference value of the total time, the unavailable time and the non-calculated time of each fan device with the difference value of the total time and the non-calculated time of each fan device to obtain the time availability TBA of each fan device;
the first mean value obtaining submodule is used for taking the unavailable time of the at least one fan device in the wind power plant as a mean value to obtain an unavailable time mean value;
the second average value obtaining submodule is used for taking the non-calculation time of the at least one fan device in the wind power plant as an average value to obtain a non-calculation time average value;
And the second full-field index acquisition submodule is used for comparing the difference value between the total time and the first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
Optionally, the responding to the indicator information at least includes the time availability TBA, and the reliability determining module 930 includes:
the second credibility acquisition sub-module is used for acquiring TBA credibility of each fan device according to the ratio of the uncomputed time to the total time of each fan device;
and the second full-farm reliability acquisition sub-module is used for acquiring the TBA reliability of the wind farm according to the ratio of the average value of the non-calculated time of the at least one fan device to the total time.
Optionally, the information display module 940 includes:
and the information sequencing sub-module is used for sequencing the fan equipment and the wind power plant according to the power generation conditions according to the preset weight and the corresponding credibility of each power generation index information.
It should be noted that, when the apparatus provided in the foregoing embodiment performs the functions thereof, only the division of the respective functional modules is used as an example, in practical application, the foregoing functional allocation may be performed by different functional modules according to actual needs, that is, the content structure of the device is divided into different functional modules, so as to perform all or part of the functions described above.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
An exemplary embodiment of the present disclosure provides an index information display apparatus of a wind farm, where the index information display apparatus of the wind farm may be implemented as all or part of a computer device by hardware or a combination of hardware and software, so as to perform the steps shown in any of the embodiments shown in fig. 3 or fig. 4. For example, the system may be the index information presentation system shown in FIG. 1, the fan apparatus may be the fan apparatus 110 shown in FIG. 1, the wind farm may be the wind farm 120 shown in FIG. 1, and the computer apparatus may be the computer apparatus 130 shown in FIG. 1. The index information display device of the wind farm further comprises: a processor, a memory for storing processor-executable instructions;
Wherein the processor is configured to:
acquiring historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state;
determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises at least one of energy availability EBA, time availability TBA and lost electric quantity;
determining the respective credibility of the power generation index information of the at least one fan device and the power generation index information of the wind farm according to the time information in the historical data information of the at least one fan device;
and displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility.
Optionally, the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan;
the time information includes: total time, no connection time, no calculation time, and unavailable time.
Optionally, in response to the index information including at least the energy availability EBA, the determining the power generation index information of the at least one fan device according to the historical data information of the at least one fan device, and the power generation index information of the wind farm includes:
The actual power generation amount and the theoretical power generation amount of each fan device are compared to obtain the energy availability EBA of each fan device;
and (3) comparing the sum of the actual power generation amount of the at least one fan device and the sum of the theoretical power generation amount of the at least one fan device in the wind power plant to obtain the energy availability EBA of the wind power plant.
Optionally, in response to the index information at least including the energy availability EBA, determining, according to time information in the historical data information of the at least one fan device, power generation index information of the at least one fan device, and respective credibility of the power generation index information of the wind farm includes:
acquiring the EBA credibility of each fan device according to the ratio of the connectionless time to the total time of each fan device;
and acquiring the EBA credibility of the wind power plant according to the ratio of the average value of the connectionless time of the at least one fan device to the total time.
Optionally, in response to the indicator information including at least the time availability TBA, the determining, according to the historical data information of the at least one fan device, power generation indicator information of the at least one fan device, and power generation indicator information of the wind farm includes:
Comparing the difference value of the total time, the unavailable time and the non-calculated time of each fan device with the difference value of the total time and the non-calculated time of each fan device to obtain a time availability TBA of each fan device;
averaging the unavailable time of the at least one fan device in the wind power plant to obtain an unavailable time average;
averaging the non-calculated time of the at least one fan device in the wind power plant to obtain a non-calculated time average;
and comparing the difference value between the total time and a first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
Optionally, the determining, according to the time information in the historical data information of the at least one fan device, the power generation index information of the at least one fan device and the respective credibility of the power generation index information of the wind farm, wherein the response index information at least includes the time availability TBA includes:
According to the ratio of the uncomputed time to the total time of each fan device, the TBA credibility of each fan device is obtained;
and obtaining the TBA credibility of the wind power plant according to the ratio of the average value of the non-calculated time of the at least one fan device to the total time.
Optionally, the displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability includes:
and sequencing the fan equipment and the wind power plant according to the power generation conditions according to the preset weight and the corresponding credibility of each power generation index information.
Fig. 10 is a schematic diagram of a computer device, according to an example embodiment. The computer apparatus 1000 includes a central processing unit (Central Processing Unit, CPU) 1001, a system Memory 1004 including a random access Memory (Random Access Memory, RAM) 1002 and a Read-Only Memory (ROM) 1003, and a system bus 1005 connecting the system Memory 1004 and the central processing unit 1001. The computer device 1000 also includes a basic Input/Output system (I/O) 1006, which helps to transfer information between various devices within the computer device, and a mass storage device 1007 for storing an operating system 1013, application programs 1014, and other program modules 1015.
The basic input/output system 1006 includes a display 1008 for displaying information and an input device 1009, such as a mouse, keyboard, etc., for a user to input information. Wherein the display 1008 and the input device 1009 are connected to the central processing unit 1001 via an input output controller 1010 connected to a system bus 1005. The basic input/output system 1006 may also include an input/output controller 1010 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, the input output controller 1010 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 1007 is connected to the central processing unit 1001 through a mass storage controller (not shown) connected to the system bus 1005. The mass storage device 1007 and its associated computer device readable media provide non-volatile storage for the computer device 1000. That is, the mass storage device 1007 may include a computer device readable medium (not shown) such as a hard disk or a compact disk-Only (CD-ROM) drive.
The computer device readable medium may include computer device storage media and communication media without loss of generality. Computer device storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer device readable instructions, data structures, program modules or other data. Computer device storage media includes RAM, ROM, erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), electrically erasable programmable read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), CD-ROM, digital video disk (Digital Video Disc, DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will recognize that the computer device storage medium is not limited to the ones described above. The system memory 1004 and mass storage devices 1007 described above may be collectively referred to as memory.
According to various embodiments of the present disclosure, the computer device 1000 may also operate through a network, such as the Internet, to remote computer devices on the network. I.e., the computer device 1000 may be connected to the network 1012 through a network interface unit 1011 connected to the system bus 1005, or alternatively, the network interface unit 1011 may be used to connect to other types of networks or remote computer device systems (not shown).
The memory also includes one or more programs stored in the memory, and the central processor 1001 implements all or part of the steps of the method shown in fig. 3 or 4 by executing the one or more programs.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described by the embodiments of the present disclosure may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer device-readable medium. Computer device readable media includes both computer device storage media and communication media including any medium that facilitates transfer of a computer device program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer device.
The embodiment of the disclosure also provides a computer equipment storage medium for storing computer equipment software instructions for the testing device, which comprises a program designed for executing the index information display method of the wind power plant.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (7)

1. An index information display method for a wind farm, which is characterized by comprising the following steps:
acquiring historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state; the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan; the time information includes: total time, no connection time, no calculation time, and unavailable time;
Determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises an energy availability EBA, a time availability TBA and a lost electric quantity;
calculating the ratio of the connectionless time to the total time for one fan device, and taking the subtracted ratio as the EBA credibility of the fan device; calculating the ratio of the average value of the connectionless time to the total time for one wind farm, and taking the subtracted ratio as the EBA credibility of the wind farm;
calculating a ratio of the non-calculated time to the total time for one fan device, and taking a subtraction ratio as the TBA credibility of the fan device; calculating a ratio of an average value of non-calculated times of the at least one fan device to a total time for one of the wind farms, taking a subtracted ratio as a TBA credibility of the wind farm;
obtaining the reliability of the fan fault loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan fault of each fan device; obtaining the reliability of the fan power-limiting loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan power limitation of each fan device; aiming at a fan device, according to the sum of the product of the fan power-limiting loss electric quantity reliability and the fan power-limiting loss electric quantity and the product of the fan fault loss electric quantity reliability and the fan fault loss electric quantity, the sum is compared with the fan power-limiting loss electric quantity of the fan device to obtain the fan device power-limiting loss electric quantity reliability; aiming at a wind power plant, according to the product of the wind power plant limited power loss electric quantity credibility and the wind power plant limited power loss electric quantity, the sum of the product of the wind power plant fault loss electric quantity credibility and the wind power plant fault loss electric quantity and the wind power plant loss electric quantity of the wind power plant is compared with the ratio to obtain the wind power plant loss electric quantity credibility;
Displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility;
for one fan device, calculating a product of a first weight, the normalized EBA of the fan device and the reliability of the EBA of the fan device; calculating a product of the second weight, the TBA of the fan equipment after normalization and the reliability of the TBA of the fan equipment; calculating a product of a third weight, the normalized lost electric quantity of the fan equipment and the reliability of the lost electric quantity of the fan equipment; summing the three products to obtain a comprehensive score of the fan equipment; calculating a product of fourth weight, the normalized EBA of the wind power plant and the reliability of the EBA of the wind power plant for one wind power plant; calculating the product of the fifth weight, the TBA of the wind power plant after normalization and the reliability of the TBA of the wind power plant; calculating a product of sixth weight, the normalized lost electric quantity of the wind power plant and the reliability of the lost electric quantity of the wind power plant; summing the three products to obtain a comprehensive score of the wind farm; and displaying the comprehensive scores of the fan equipment and the wind farm.
2. The method of claim 1, wherein responsive to the index information including at least the energy availability EBA, the determining power generation index information for the at least one fan device from historical data information for the at least one fan device, and power generation index information for the wind farm, comprises:
the actual power generation amount and the theoretical power generation amount of each fan device are compared to obtain the energy availability EBA of each fan device;
and (3) comparing the sum of the actual power generation amount of the at least one fan device and the sum of the theoretical power generation amount of the at least one fan device in the wind power plant to obtain the energy availability EBA of the wind power plant.
3. The method of claim 1, wherein responsive to the indicator information including at least the time availability TBA, the determining power generation indicator information for the at least one fan device from historical data information for the at least one fan device, and power generation indicator information for the wind farm, comprises:
comparing the difference value of the total time and the unavailable time and the non-calculated time of each fan device with the difference value of the total time and the non-calculated time of each fan device to obtain a time availability TBA of each fan device;
Averaging the unavailable time of the at least one fan device in the wind power plant to obtain an unavailable time average;
averaging the non-calculated time of the at least one fan device in the wind power plant to obtain a non-calculated time average;
and comparing the difference value between the total time and a first time average value with the difference value between the total time and the non-calculated time average value to obtain the time availability TBA of the wind power plant, wherein the first time average value is the sum of the non-available time average value and the non-calculated time average value.
4. The method of claim 1, wherein the exposing the power generation index information of the at least one fan device, the power generation index information of the wind farm, and the reliability comprises:
and sequencing the fan equipment and the wind power plant according to the power generation conditions according to the preset weight and the corresponding credibility of each power generation index information.
5. An index information display device of a wind farm, the device comprising:
the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring historical data information of at least one fan device in a wind power plant, and the historical data information comprises generating capacity information and time information in each generating state; the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan; the time information includes: total time, no connection time, no calculation time, and unavailable time;
The index determining module is used for determining power generation index information of the at least one fan device and power generation index information of the wind farm according to the historical data information of the at least one fan device; the power generation index information comprises an energy availability EBA, a time availability TBA and a lost electric quantity;
the reliability determining module is used for calculating the ratio of the connectionless time to the total time for one fan device, and taking the subtracted ratio as the EBA reliability of the fan device; calculating the ratio of the average value of the connectionless time to the total time for one wind farm, and taking the subtracted ratio as the EBA credibility of the wind farm;
the credibility determining module is further used for calculating the ratio of the non-calculated time to the total time for one fan device, and taking the subtracted ratio as the TBA credibility of the fan device; calculating a ratio of an average value of non-calculated times of the at least one fan device to a total time for one of the wind farms, taking a subtracted ratio as a TBA credibility of the wind farm;
the credibility determining module is further used for obtaining the credibility of the fan fault loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan fault of each fan device; obtaining the reliability of the fan power-limiting loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan power limitation of each fan device; aiming at a fan device, according to the sum of the product of the fan power-limiting loss electric quantity reliability and the fan power-limiting loss electric quantity and the product of the fan fault loss electric quantity reliability and the fan fault loss electric quantity, the sum is compared with the fan power-limiting loss electric quantity of the fan device to obtain the fan device power-limiting loss electric quantity reliability; aiming at a wind power plant, according to the product of the wind power plant limited power loss electric quantity credibility and the wind power plant limited power loss electric quantity, the sum of the product of the wind power plant fault loss electric quantity credibility and the wind power plant fault loss electric quantity and the wind power plant loss electric quantity of the wind power plant is compared with the ratio to obtain the wind power plant loss electric quantity credibility;
The information display module is used for displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility;
the information display module is further used for calculating a product of a first weight, the normalized EBA of the fan equipment and the reliability of the EBA of the fan equipment for the fan equipment; calculating a product of the second weight, the TBA of the fan equipment after normalization and the reliability of the TBA of the fan equipment; calculating a product of a third weight, the normalized lost electric quantity of the fan equipment and the reliability of the lost electric quantity of the fan equipment; summing the three products to obtain a comprehensive score of the fan equipment; calculating a product of fourth weight, the normalized EBA of the wind power plant and the reliability of the EBA of the wind power plant for one wind power plant; calculating the product of the fifth weight, the TBA of the wind power plant after normalization and the reliability of the TBA of the wind power plant; calculating a product of sixth weight, the normalized lost electric quantity of the wind power plant and the reliability of the lost electric quantity of the wind power plant; summing the three products to obtain a comprehensive score of the wind farm; and displaying the comprehensive scores of the fan equipment and the wind farm.
6. An index information display device of a wind farm, the device comprising:
a processor;
a memory for storing executable instructions of the processor;
wherein the processor is configured to:
acquiring historical data information of at least one fan device in a wind power plant, wherein the historical data information comprises generating capacity information and time information in each generating state; the power generation amount information includes: the actual power generation amount and the theoretical power generation amount of the corresponding fan; the time information includes: total time, no connection time, no calculation time, and unavailable time;
determining power generation index information of the at least one fan device and power generation index information of the wind farm according to historical data information of the at least one fan device; the power generation index information comprises an energy availability EBA, a time availability TBA and a lost electric quantity;
calculating the ratio of the connectionless time to the total time for one fan device, and taking the subtracted ratio as the EBA credibility of the fan device; calculating the ratio of the average value of the connectionless time to the total time for one wind farm, and taking the subtracted ratio as the EBA credibility of the wind farm;
Calculating a ratio of the non-calculated time to the total time for one fan device, and taking a subtraction ratio as the TBA credibility of the fan device; calculating a ratio of an average value of non-calculated times of the at least one fan device to a total time for one of the wind farms, taking a subtracted ratio as a TBA credibility of the wind farm;
obtaining the reliability of the fan fault loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan fault of each fan device; obtaining the reliability of the fan power-limiting loss electric quantity of each fan device according to the ratio of the connectionless time to the total time caused by the fan power limitation of each fan device; aiming at a fan device, according to the sum of the product of the fan power-limiting loss electric quantity reliability and the fan power-limiting loss electric quantity and the product of the fan fault loss electric quantity reliability and the fan fault loss electric quantity, the sum is compared with the fan power-limiting loss electric quantity of the fan device to obtain the fan device power-limiting loss electric quantity reliability; aiming at a wind power plant, according to the product of the wind power plant limited power loss electric quantity credibility and the wind power plant limited power loss electric quantity, the sum of the product of the wind power plant fault loss electric quantity credibility and the wind power plant fault loss electric quantity and the wind power plant loss electric quantity of the wind power plant is compared with the ratio to obtain the wind power plant loss electric quantity credibility;
Displaying the power generation index information of the at least one fan device, the power generation index information of the wind farm and the credibility;
for one fan device, calculating a product of a first weight, the normalized EBA of the fan device and the reliability of the EBA of the fan device; calculating a product of the second weight, the TBA of the fan equipment after normalization and the reliability of the TBA of the fan equipment; calculating a product of a third weight, the normalized lost electric quantity of the fan equipment and the reliability of the lost electric quantity of the fan equipment; summing the three products to obtain a comprehensive score of the fan equipment; calculating a product of fourth weight, the normalized EBA of the wind power plant and the reliability of the EBA of the wind power plant for one wind power plant; calculating the product of the fifth weight, the TBA of the wind power plant after normalization and the reliability of the TBA of the wind power plant; calculating a product of sixth weight, the normalized lost electric quantity of the wind power plant and the reliability of the lost electric quantity of the wind power plant; summing the three products to obtain a comprehensive score of the wind farm; and displaying the comprehensive scores of the fan equipment and the wind farm.
7. A computer device readable storage medium, wherein the computer device readable storage medium contains executable instructions, and the executable instructions are called by a processor to implement the method for displaying the index information of the wind farm according to any of claims 1 to 4.
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