CN104796082A - System and method for diagnosing faults of photovoltaic power generation systems in online manner - Google Patents
System and method for diagnosing faults of photovoltaic power generation systems in online manner Download PDFInfo
- Publication number
- CN104796082A CN104796082A CN201510197855.2A CN201510197855A CN104796082A CN 104796082 A CN104796082 A CN 104796082A CN 201510197855 A CN201510197855 A CN 201510197855A CN 104796082 A CN104796082 A CN 104796082A
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- monitoring
- power generation
- generation system
- photovoltaic power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 88
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000003745 diagnosis Methods 0.000 claims description 28
- 238000012423 maintenance Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 10
- 230000008439 repair process Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000013210 evaluation model Methods 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 4
- 230000008901 benefit Effects 0.000 abstract description 4
- 230000000712 assembly Effects 0.000 abstract description 2
- 238000000429 assembly Methods 0.000 abstract description 2
- 238000004146 energy storage Methods 0.000 description 17
- 230000006854 communication Effects 0.000 description 12
- 238000004891 communication Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 239000011159 matrix material Substances 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 230000005855 radiation Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention provides a system for diagnosing faults of photovoltaic power generation systems in an online manner. The system comprises an upper computer, an environment monitoring instrument, a photovoltaic monitoring terminal, header box monitoring modules, assembly monitoring modules and the like. The upper computer has analyzing and processing functions, the environment monitoring instrument and the photovoltaic monitoring terminal are connected with the upper computer, the header box monitoring modules are respectively arranged on various header boxes, and the assembly monitoring modules are respectively arranged on various photovoltaic assemblies. The system has the advantages that the system is simple and reasonable in structure, each assembly monitoring module is arranged on the corresponding photovoltaic assembly, each header box monitoring module is arranged on the corresponding header box, accordingly, voltages, currents and power on each photovoltaic assembly, each photovoltaic assembly string and the header boxes can be detected; the various monitoring modules are organized to form a network and are matched with the environment monitoring instrument and the photovoltaic monitoring terminal, monitored and acquired data of various devices of the photovoltaic power generation systems and other reference data can be uploaded to the upper computer along network nodes step by step, accordingly, running states of the photovoltaic power generation systems can be comprehensively analyzed, and the system has an online fault diagnosing function.
Description
Technical Field
The invention relates to the field of solar power generation, in particular to an integrated, efficient and intelligent online fault diagnosis system and an online fault diagnosis method for a photovoltaic power generation system.
Background
Through the rapid development of more than ten years, the photovoltaic industry of China enters a large-scale development stage. By 2013, the accumulated photovoltaic installation amount in China is 17.16GW, the newly increased photovoltaic loading amount in 2014 is targeted at 14GW, and the total photovoltaic power generation capacity in 2020 reaches 180 GW. The operation level of the photovoltaic power generation system is a core element influencing the benefit of the system, the operation maintenance cost, the power generation efficiency and the power generation reliability of the photovoltaic power generation system are directly influenced, and how to ensure the high-level operation of the system is a common concern of all parties.
However, such a huge photovoltaic power generation system has a huge number of devices, and when a certain device fails, all devices are checked one by one, so that the workload is huge. Taking a photovoltaic power station of 5 ten thousand kilowatts as an example, the number of inverters is more than 100, the number of header boxes is more than 800, the number of battery assemblies is more than 19, and a plurality of direct current bus branches are also provided, and the distribution of the current photovoltaic power generation system is remote in geographic position and inconvenient in traffic, or the photovoltaic power generation system is built on a building roof, so that the equipment inspection and management are very difficult.
At present, a data acquisition and monitoring system for a photovoltaic power generation system also exists, but the problems exist: 1) and the monitoring data is not collectable and credible. The monitoring and measuring precision is not high and the measured data is not accurate because of no string monitoring or simple string data acquisition; 2) and the monitoring data is difficult to report. Monitoring data are uploaded through an RS-485 bus, so that the transmission rate is low, communication faults are more, and the situations of false alarm and missed alarm are serious; 3) fault location is difficult. The number of photovoltaic modules and nodes is large, an effective fault positioning means is lacked, fault detection mainly depends on manual routing inspection and manual measurement and comparison through a universal meter, the fault processing period is long, the power generation output is influenced, the maintenance efficiency is low, and the manpower investment is large; 4) system management lacks digital means. The monitoring information is simply collected and presented, a large number of data reports are manually processed through Excel, the comprehensive analysis capability of the data is poor, the power generation operation analysis and improvement lack quantification means, and the unified management of multiple systems cannot be realized.
It is seen that there is a need for improved systems and methods for fault detection and diagnosis in existing photovoltaic power generation systems.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an integrated, efficient and intelligent online fault diagnosis system and method for a photovoltaic power generation system, so as to implement online fault diagnosis for the photovoltaic power generation system.
In order to solve the technical problems, the technical scheme of the invention is as follows:
an online fault diagnosis system of a photovoltaic power generation system comprises an alternating current cabinet and a plurality of photovoltaic inverters, wherein each photovoltaic inverter is connected with a plurality of combiner boxes, each combiner box is connected with a plurality of photovoltaic group strings, each photovoltaic group string is formed by connecting a plurality of photovoltaic components in series, the online fault diagnosis system of the photovoltaic power generation system comprises an upper computer with analysis and processing functions, an environment monitor connected with the upper computer, a photovoltaic monitor terminal, combiner box monitoring modules respectively arranged on the combiner boxes, and component monitoring modules respectively arranged on the photovoltaic components;
wherein,
the assembly monitoring module is used for monitoring the voltage, the current and the power of the photovoltaic assembly and uploading the voltage, the current and the power to the upper-stage junction box detection module;
the junction box monitoring module is used for collecting the voltage, the current and the power of each photovoltaic group string in the junction box, collecting data uploaded by the lower-level assembly detection module and uploading the data to the photovoltaic monitoring terminal;
the photovoltaic monitoring terminal is used for collecting data uploaded by each combiner box detection module, collecting operating parameters of the alternating-current cabinet, monitoring on-off state signals and analog quantity signals of each device in the photovoltaic power generation system, storing the collected, collected and monitored data, and uploading the data to the upper computer.
Correspondingly, the invention also provides an online fault diagnosis method for the photovoltaic power generation system, which comprises the following steps:
step A, determining equipment to be diagnosed according to the type of a photovoltaic power generation system;
b, determining characteristic parameters representing the running state of the equipment to be diagnosed, and reading real-time values of the characteristic parameters;
c, reading or calculating a threshold value of the characteristic parameter according to the evaluation model of the equipment to be diagnosed;
d, making a difference value between the real-time value of the corresponding characteristic parameter and a threshold value;
step E, when the difference value exceeds a preset range, judging that the corresponding equipment to be diagnosed has a fault, recording the fault, and sending an alarm to operation and maintenance personnel;
step F, reading a fault processing method from a knowledge base with reading, writing and storing functions preset in the upper computer and guiding operation and maintenance personnel to carry out fault repair;
and G, after the fault is repaired, updating the knowledge base.
According to the invention, each photovoltaic module is provided with one module monitoring module, each combiner box is provided with one combiner box monitoring module, the voltage, the current and the power of each photovoltaic module, each photovoltaic group string and the combiner box can be detected, a plurality of monitoring modules are organized into a network and matched with an environment monitor and a photovoltaic monitoring terminal, so that the monitored and collected data and other reference data of each device of the photovoltaic power generation system can be gradually uploaded to an upper computer along network nodes, and thus the running state of the photovoltaic power generation system is comprehensively analyzed, and the function of online fault diagnosis is realized.
The invention has the following advantages: 1. the components which are easy to obtain, low in cost and low in power consumption can be used as the component monitoring module, monitoring of a large number of photovoltaic components is achieved, and feasibility is provided for fault detection and positioning; 2. the photovoltaic power generation system is divided into a square matrix level, a group cascade level and a component level, so that the fault is monitored and positioned in a grading manner, and the fault is monitored and positioned more quickly and accurately; 3. the data monitored and collected is more accurate, and the step-by-step reporting is simple and reliable, the transmission rate is high, and the number of false reports and missed reports is small.
Drawings
FIG. 1 is a schematic diagram of a medium-high voltage grid-connected non-energy-storage photovoltaic power generation system and a monitoring system thereof;
FIG. 2 is a flow chart of a photovoltaic power generation system online fault handling method;
FIG. 3 is a schematic diagram of a low-voltage grid-connected non-energy-storage photovoltaic power generation system and a monitoring system thereof;
FIG. 4 is a schematic diagram of a low-voltage grid-connected energy storage type photovoltaic power generation system and a monitoring system thereof;
FIG. 5 is a schematic diagram of a low-voltage off-grid energy storage type photovoltaic power generation system and a monitoring system thereof;
description of reference numerals: 1. a component monitoring module; 2. a combiner box monitoring module; 3. a photovoltaic monitoring terminal; 4. an environmental monitor; 5. and (4) an upper computer.
Detailed Description
The photovoltaic power generation system is divided into a grid-connected type photovoltaic power generation system and an off-grid type photovoltaic power generation system according to whether grid connection is carried out or not, is divided into a high-voltage type photovoltaic power generation system, a medium-voltage type photovoltaic power generation system and a low-voltage type photovoltaic power generation system according to the voltage grade, and is divided into an energy storage type photovoltaic power generation system and a non-energy storage type photovoltaic power generation system according. Generally, for the off-grid type, the low-pressure type is adopted, and an energy storage system is required to be configured. Further, for the medium-voltage and high-voltage grid-connected type, an energy storage system is not generally configured. And for the structures of medium and high voltage grid-connected photovoltaic power generation systems, except that the voltage grades of the transformers connected to the grid are different, the structures are almost consistent. Therefore, the actual photovoltaic power generation system mainly comprises four types, namely a low-voltage off-grid energy storage type, a low-voltage grid-connected non-energy storage type, a medium-high voltage grid-connected non-energy storage type and the like.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
Fig. 1 is a schematic diagram of a medium-high voltage grid-connected non-energy-storage photovoltaic power generation system and a monitoring system thereof. The photovoltaic system comprises equipment such as a step-up transformer, an alternating current power distribution cabinet, photovoltaic inverters and the like, wherein each photovoltaic inverter is connected with a plurality of combiner boxes, each combiner box is connected with a plurality of photovoltaic group strings, and each photovoltaic group string is formed by connecting a plurality of photovoltaic components in series; the specific number of such devices depends on the system size. The configuration scheme of the online fault diagnosis system is as follows: an upper computer 5, a photovoltaic monitor terminal 3, an environmental monitor 4, collection flow box monitoring module 2 is a plurality of, and subassembly monitoring module 1 is a plurality of. When the online fault diagnosis is carried out on the photovoltaic power generation system, the data acquisition communication process comprises the following steps: firstly, accessing a component monitoring module 1 into each photovoltaic component, monitoring the voltage, the current and the power of the photovoltaic component by the component monitoring module 1, communicating with a superior junction box monitoring module 2, and reporting the voltage, the current and the power data of the photovoltaic component in real time; then, a combiner box monitoring module 2 is connected into each combiner box, on one hand, the total voltage, current and power data of each photovoltaic group string of the combiner box are collected, on the other hand, the combiner box is communicated with an assembly monitoring module 1 installed on a photovoltaic assembly through a wireless communication port, the voltage, current and power data of the photovoltaic assembly are obtained, and the voltage, current and power data are uploaded to a photovoltaic monitoring terminal 3 through the wireless communication port; the photovoltaic monitoring terminal 3 plays an important role in the system, and the functions thereof comprise: (1) the wireless communication function is used for communicating with the combiner box and collecting voltage, current and power data of the photovoltaic group string and the photovoltaic module of the combiner box; (2) the monitoring device has a switching value position signal monitoring function, and monitors switching state signals in a transformer, an alternating current cabinet and a direct current cabinet of a photovoltaic power generation system; (3) the analog quantity monitoring function is provided, and analog quantity signals in the step-up transformer, the alternating current cabinet and the direct current cabinet are monitored; (4) the system has an RS485/RS232 communication function, is communicated with the photovoltaic inverter and acquires related data of the photovoltaic inverter; (5) the data storage function is provided, and the acquired data are stored; (6) and an ethernet communication function for communicating with the upper computer 5 and uploading the data to the upper computer 5. In the figure, a thin solid line indicates a wired communication link, a broken line indicates a wireless communication link, and a thick solid line indicates a power line.
Correspondingly, the invention also provides an online fault diagnosis method of the photovoltaic power generation system, which can be operated in an upper computer as a software program and comprises the following steps:
step A, determining equipment to be diagnosed according to the type of a photovoltaic power generation system;
b, determining characteristic parameters representing the running state of the equipment to be diagnosed, and reading real-time values of the characteristic parameters;
c, reading or calculating a threshold value of the characteristic parameter according to the evaluation model of the equipment to be diagnosed;
d, making a difference value between the real-time value of the corresponding characteristic parameter and a threshold value;
step E, when the difference value exceeds a preset range, judging that the corresponding equipment to be diagnosed has a fault, recording the fault, and sending an alarm to operation and maintenance personnel;
step F, reading a fault processing method from a knowledge base with reading, writing and storing functions preset in the upper computer and guiding operation and maintenance personnel to carry out fault repair;
and G, after the fault is repaired, updating the knowledge base.
Fig. 2 is a flow of fault diagnosis and handling of the upper computer 5. The method comprises the steps of regarding the whole photovoltaic power generation system as a whole, setting corresponding characteristic parameters for each device in the system, directly reading threshold values of the characteristic parameters from the devices by collecting real-time values of the characteristic parameters, or calculating the threshold values of the characteristic parameters according to an evaluation model of each device fault, comparing the real-time values of the characteristic parameters with the threshold values, thereby identifying the device faults, alarming operation and maintenance personnel in the modes of sound, light, images, short messages and the like, and giving fault processing suggestions by a knowledge base; the knowledge base can automatically learn and be continuously perfected according to the fault processing result of each time.
Firstly, system equipment needing fault diagnosis, namely equipment to be diagnosed, is determined according to the type of the photovoltaic power generation system. The equipment of the photovoltaic power generation system mainly comprises a grid-connected transformer, an alternating current grid-connected cabinet, a photovoltaic inverter, a direct current cabinet, a controller, a storage battery, a junction box, photovoltaic modules and the like, wherein the number of the photovoltaic modules is the largest, and faults are the most difficult to identify. However, all photovoltaic power generation systems do not include the above-mentioned devices, for example, an island type photovoltaic power generation system does not have a grid-connected transformer and a grid-connected cabinet, and a non-energy storage type photovoltaic power generation system does not have a storage battery and a controller. For the present embodiment, the devices of the photovoltaic power generation system mainly include a transformer, a grid-connected cabinet, a photovoltaic inverter, a combiner box, a photovoltaic module, and the like, and these devices are used as devices to be diagnosed.
Secondly, according to different equipment types, characteristic parameters capable of representing normal operation of the equipment to be diagnosed are determined, and then whether the equipment to be diagnosed has faults or not is judged by acquiring and judging whether the operation parameters are in a normal range or not.
The monitoring method comprises the steps that the characteristic parameters of the grid-connected transformer comprise high-voltage side voltage, low-voltage side current, high-voltage side power, transformer oil temperature, transformer oil pressure and the like, the characteristic parameters are collected through the photovoltaic monitoring terminal 3, and the characteristic parameters are uploaded to a monitoring center through an Ethernet communication interface of the photovoltaic monitoring terminal 3.
The characteristic parameters of the AC grid-connected cabinet are a grid-connected switch position signal and a meter. The characteristic parameter of the direct current cabinet is a direct current switch position signal. The monitoring method is the same as that of the grid-connected transformer, and the monitoring method is collected and uploaded through the photovoltaic monitoring terminal 3.
The characteristic parameters of the photovoltaic inverter comprise direct current side voltage, current and power, alternating current side voltage, current, power, frequency, power factor, module temperature and the like. In addition, a plurality of photovoltaic inverters also have a fault monitoring function and form an alarm state word. These are sent to the upper computer 5 through the monitoring interface of the photovoltaic inverter itself (generally RS232 or RS 485).
The controller and the storage battery are usually applied to a photovoltaic power generation system needing energy storage and must be used simultaneously, the monitoring of the storage battery is mostly realized through the controller, the state of each section of storage battery needs to be monitored through a complex controller, and the state of a storage battery pack string is only monitored through a simple controller. The characteristic parameters include voltage, current, temperature, etc. The controller judges the charge-discharge state of the storage battery according to the real-time values of the characteristic parameters, and sends the charge-discharge state to the upper computer 5 through a monitoring interface of the controller.
The characteristic parameters of the photovoltaic module are the voltage, current and power of the module. The method is most difficult to monitor the faults of the photovoltaic module, and can monitor the faults of the photovoltaic module through three stages, namely a square matrix stage, a group cascade stage, a module stage and the like, in order to accurately monitor and position the faults of the photovoltaic module. The basic principle is as follows: technical index parameters of the photovoltaic module, such as volt-ampere characteristics, conversion efficiency, open-circuit voltage, current and the like, and parameters of solar radiation (including total radiation, scattering and direct radiation), ambient temperature, humidity, atmospheric pressure and the like monitored by an environmental monitor 4 are input into an output power calculation model of the photovoltaic power generation system together, three-level generation output power theoretical values, such as a square matrix level, a group cascade level and a module level, are calculated respectively, and then are compared with actual generation output values of corresponding levels monitored by an inverter, a combiner box and a module monitoring module 1, whether a difference value is in a reasonable range is judged, if the difference value is in the reasonable range, no fault is considered, and if not, the component is considered to have a fault.
The output power calculation model of the photovoltaic power generation system is as follows: firstly, according to environmental parameters (mainly solar radiation and temperature), comparing a V-I characteristic curve of the module to obtain the theoretical output power (marked as P) of the module. For the string power calculation formula: pGeneral assembly＝P×N×η1Where N is the number of components, η1Is the series efficiency. The formula for the square matrix power calculation is as follows: pGeneral assembly＝P×N×η2In the formula eta2Is the square matrix efficiency. The number of series components and the number of parallel components are basically fixed for the same photovoltaic power generation system, so that eta can be converted into the system1、η2Chosen as a constant.
The component level monitoring method is characterized in that a low-cost and low-power consumption component monitoring module 1 is embedded in each photovoltaic component, the component monitoring module 1 not only can detect the voltage, the current and the power of the photovoltaic component, but also has a wireless Wifi communication function, and can automatically detect adjacent Wifi nodes and a self-organizing network. The control commands and the acquired data of each component monitoring module 1 are transmitted along other sensor nodes one by one, and are routed to a sink node, namely a gateway (relay receiving transmitter), through a plurality of routes, and finally are transmitted to the upper computer 5 through wired Ethernet, WiFi, 3G and other wireless communication modes.
If the equipment to be diagnosed has a fault, generating an alarm, informing operation and maintenance personnel through sound, light, images, short messages and the like, and inquiring a fault processing method from a fault diagnosis knowledge base to guide the operation and maintenance personnel to carry out fault repair; or the operation and maintenance personnel repair the fault by combining the skill, experience and actual conditions of the operation and maintenance personnel. Finally, updating the knowledge base according to the fault repairing scheme of the operation and maintenance personnel, and providing better guidance for next fault treatment; the above steps are repeated to continuously perfect the knowledge base.
Example 2
Fig. 3 is a schematic diagram of a low-voltage grid-connected non-energy-storage photovoltaic power generation system and a monitoring system thereof, and compared with embodiment 1, the structure of the photovoltaic power generation system is almost completely the same, except that no step-up transformer is provided. Therefore, the online fault diagnosis system of the photovoltaic power generation system is the same as that in embodiment 1, and when online fault diagnosis is performed on the photovoltaic power generation system, only the step-up transformer needs to be eliminated when the equipment to be diagnosed is determined.
Other technical features are the same as those of embodiment 1 and are not described herein again.
Example 3
Fig. 4 is a schematic diagram of a low-voltage grid-connected energy storage type photovoltaic power generation system and a monitoring system thereof, and compared with embodiment 2, the photovoltaic power generation system is additionally provided with a charge and discharge controller and a storage battery. The online fault diagnosis method comprises the following steps: the charge-discharge controller collects and monitors the voltage, current and power of the alternating-current and direct-current ends of the charge-discharge controller and the working temperature of the storage battery, and stores and uploads the data to the upper computer 5; and establishing a fault diagnosis model of the equipment in the upper computer 5, determining characteristic parameters capable of representing normal operation of the equipment, judging whether the operation parameters are in a normal range, and further judging whether the equipment has faults.
Other technical features refer to embodiments 1 and 2, and are not described herein.
Example 4
Fig. 5 is a schematic diagram of a low-voltage off-grid energy storage type photovoltaic power generation system and a monitoring system thereof, compared with embodiment 3, the photovoltaic power generation system is not connected with a power distribution network but directly connected with a load only when alternating current is imported into an alternating current cabinet, but the construction of an online fault diagnosis system and the diagnosis and treatment of faults are not affected, so that the online fault diagnosis method is the same as that of embodiment 3.
The above embodiments are referred to one another.
According to the invention, each photovoltaic module is provided with one module monitoring module, each combiner box is provided with one combiner box monitoring module, the voltage, the current and the power of each photovoltaic module, each photovoltaic group string and the combiner box can be detected, a plurality of monitoring modules are organized into a network and matched with an environment monitor and a photovoltaic monitoring terminal, so that the monitored and collected data and other reference data of each device of the photovoltaic power generation system can be gradually uploaded to an upper computer along network nodes, and thus the running state of the photovoltaic power generation system is comprehensively analyzed, and the function of online fault diagnosis is realized. The photovoltaic module monitoring system adopts components which are easy to obtain, low in cost and low in power consumption as the module monitoring module, realizes monitoring of a huge number of photovoltaic modules, and provides feasibility for fault detection and positioning of the photovoltaic modules; the photovoltaic power generation system is divided into a square matrix level, a group cascade level and a component level, so that the fault is monitored and positioned in a grading manner, and the fault is monitored and positioned more quickly and accurately; the data monitored and collected is more accurate, and the step-by-step reporting is simple and reliable, the transmission rate is high, and the number of false reports and missed reports is small.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (2)
1. The utility model provides an online fault diagnosis system of photovoltaic power generation system, the photovoltaic power generation system who uses includes exchanges cabinet and a plurality of photovoltaic inverter, and every photovoltaic inverter inserts a plurality of ways and converges the flow box, and every way converges the flow box and inserts a plurality of ways photovoltaic group cluster, and every way photovoltaic group cluster is established ties by a plurality of photovoltaic module and is formed its characterized in that:
the photovoltaic power generation system online fault diagnosis system comprises an upper computer with analysis and processing functions, an environment monitor connected with the upper computer, a photovoltaic monitoring terminal, combiner box monitoring modules respectively arranged on each combiner box, and component monitoring modules respectively arranged on each photovoltaic component;
wherein,
the assembly monitoring module is used for monitoring the voltage, the current and the power of the photovoltaic assembly and uploading the voltage, the current and the power to the upper-stage junction box detection module;
the junction box monitoring module is used for collecting the voltage, the current and the power of each photovoltaic group string in the junction box, collecting data uploaded by the lower-level assembly detection module and uploading the data to the photovoltaic monitoring terminal;
the photovoltaic monitoring terminal is used for collecting data uploaded by each combiner box detection module, collecting operating parameters of the alternating-current cabinet, monitoring on-off state signals and analog quantity signals of each device in the photovoltaic power generation system, storing the collected, collected and monitored data, and uploading the data to the upper computer.
2. An online fault diagnosis method using the online fault diagnosis system for the photovoltaic power generation system according to claim 1, comprising the steps of:
step A, determining equipment to be diagnosed according to the type of a photovoltaic power generation system;
b, determining characteristic parameters representing the running state of the equipment to be diagnosed, and reading real-time values of the characteristic parameters;
c, reading or calculating a threshold value of the characteristic parameter according to the evaluation model of the equipment to be diagnosed;
d, making a difference value between the real-time value of the corresponding characteristic parameter and a threshold value;
step E, when the difference value exceeds a preset range, judging that the corresponding equipment to be diagnosed has a fault, recording the fault, and sending an alarm to operation and maintenance personnel;
step F, reading a fault processing method from a knowledge base with reading, writing and storing functions preset in the upper computer and guiding operation and maintenance personnel to carry out fault repair;
and G, after the fault is repaired, updating the knowledge base.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510197855.2A CN104796082A (en) | 2015-04-22 | 2015-04-22 | System and method for diagnosing faults of photovoltaic power generation systems in online manner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510197855.2A CN104796082A (en) | 2015-04-22 | 2015-04-22 | System and method for diagnosing faults of photovoltaic power generation systems in online manner |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104796082A true CN104796082A (en) | 2015-07-22 |
Family
ID=53560650
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510197855.2A Pending CN104796082A (en) | 2015-04-22 | 2015-04-22 | System and method for diagnosing faults of photovoltaic power generation systems in online manner |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104796082A (en) |
Cited By (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105391577A (en) * | 2015-11-18 | 2016-03-09 | 常州天合光能有限公司 | Intelligent photovoltaic module information tracking system based on terminal APP |
| CN105811881A (en) * | 2016-05-27 | 2016-07-27 | 福州大学 | On-line photovoltaic array fault diagnosis system implementing method |
| CN106059496A (en) * | 2016-05-18 | 2016-10-26 | 华北电力大学 | Method and system for monitoring performance and identifying faults of array of photovoltaic assembly |
| CN106448101A (en) * | 2016-09-09 | 2017-02-22 | 珠海格力电器股份有限公司 | Photovoltaic array monitoring system and method |
| CN106685357A (en) * | 2016-11-11 | 2017-05-17 | 中冶华天工程技术有限公司 | Photovoltaic array discrete loss detection system and method |
| CN106877815A (en) * | 2015-12-14 | 2017-06-20 | 成都鼎桥通信技术有限公司 | The detection method and device of a kind of photovoltaic group string connection |
| WO2017148336A1 (en) * | 2016-03-01 | 2017-09-08 | 华为技术有限公司 | Battery pack string fault identification method in photoelectric system, apparatus and device |
| CN107404287A (en) * | 2017-05-23 | 2017-11-28 | 扬州鸿淏新能源科技有限公司 | A kind of photovoltaic plant method for diagnosing faults |
| CN107547046A (en) * | 2017-09-01 | 2018-01-05 | 孙睿超 | A kind of automatic detection and troubleshooting methodology of intelligent photovoltaic cell system |
| CN107579597A (en) * | 2017-09-28 | 2018-01-12 | 杭州淘顶网络科技有限公司 | A kind of method of photovoltaic system Remote Fault Diagnosis and troubleshooting task distribution |
| CN107659265A (en) * | 2017-11-09 | 2018-02-02 | 陆刚 | Photovoltaic panel failure detector and system |
| CN108039773A (en) * | 2017-12-22 | 2018-05-15 | 苏州正易鑫新能源科技有限公司 | A kind of long-range efficiency calculation apparatus and system of photo-voltaic power generation station |
| CN108089509A (en) * | 2017-12-22 | 2018-05-29 | 苏州正易鑫新能源科技有限公司 | A kind of photo-voltaic power generation station long-distance management device and system |
| CN108323219A (en) * | 2017-03-22 | 2018-07-24 | 胡炎申 | The control method of photovoltaic generating system and MPPT maximum power point tracking MPPT |
| CN108494365A (en) * | 2018-05-30 | 2018-09-04 | 福州大学 | A kind of photovoltaic module and the online mismatch of component string monitor system |
| CN108551330A (en) * | 2018-06-22 | 2018-09-18 | 浙江源控节能科技有限公司 | A kind of photovoltaic module array monitoring system and monitoring method |
| CN108599724A (en) * | 2018-07-02 | 2018-09-28 | 中国电建集团江西省电力建设有限公司 | A kind of photovoltaic module on-line monitoring system and monitoring method |
| CN108736827A (en) * | 2018-06-15 | 2018-11-02 | 北京成文琪信科技有限公司 | A kind of solar photovoltaic assembly array data aggregating apparatus and its data processing method |
| CN108768296A (en) * | 2018-06-15 | 2018-11-06 | 北京成文琪信科技有限公司 | A kind of photovoltaic module monitoring method |
| CN108768295A (en) * | 2018-06-15 | 2018-11-06 | 北京成文琪信科技有限公司 | A kind of photovoltaic module hot spot monitoring method |
| CN108808861A (en) * | 2018-06-15 | 2018-11-13 | 北京成文琪信科技有限公司 | A kind of photovoltaic module monitoring system simultaneity solution |
| CN109298228A (en) * | 2018-09-13 | 2019-02-01 | 安徽天尚清洁能源科技有限公司 | A kind of Intelligence Diagnosis method and system based on photovoltaic group string current anomaly |
| CN109756029A (en) * | 2019-01-24 | 2019-05-14 | 国网山东省电力公司日照供电公司 | A kind of monitoring system for solar energy power generating |
| CN110445175A (en) * | 2019-08-15 | 2019-11-12 | 深圳库博能源科技有限公司 | A kind of photovoltaic power generation intelligent energy storage system |
| CN110535240A (en) * | 2019-09-02 | 2019-12-03 | 中建材蚌埠玻璃工业设计研究院有限公司 | A kind of Intelligent light photovoltaic generating system based on 5G |
| CN111077390A (en) * | 2019-12-11 | 2020-04-28 | 潍柴动力股份有限公司 | Service test method, device and equipment for electric control engine and storage medium |
| CN112383054A (en) * | 2020-11-19 | 2021-02-19 | 珠海格力电器股份有限公司 | Photovoltaic power generation system, fault processing method thereof and power generation equipment |
| CN112567627A (en) * | 2018-08-07 | 2021-03-26 | 波浪实验室太阳测量学系统有限公司 | Photovoltaic solar cell testing system for a pipeline solar cell production plant and method for optimizing a solar cell pipeline production using a photovoltaic solar cell testing system of this type |
| CN113157830A (en) * | 2020-01-22 | 2021-07-23 | 华为技术有限公司 | Position updating method and device for photovoltaic string |
| CN114094938A (en) * | 2021-11-23 | 2022-02-25 | 阳光电源（上海）有限公司 | Detection method and device of photovoltaic power generation system, photovoltaic power generation system and medium |
| CN114123970A (en) * | 2021-10-15 | 2022-03-01 | 阳光电源股份有限公司 | Method, device and equipment for detecting power generation loss and computer storage medium |
| WO2022155883A1 (en) * | 2021-01-22 | 2022-07-28 | 华为数字能源技术有限公司 | Detection method and related device |
| CN115459709A (en) * | 2022-09-28 | 2022-12-09 | 江苏宁瑞惠能电气技术有限公司 | Photovoltaic power plant remote monitering system |
| WO2023284290A1 (en) * | 2021-07-12 | 2023-01-19 | 中国华能集团清洁能源技术研究院有限公司 | Multi-dimensional tandem photovoltaic string data acquisition system and method |
| CN117060849A (en) * | 2023-07-26 | 2023-11-14 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
| CN118367866A (en) * | 2024-02-05 | 2024-07-19 | 徐闻县粤水电能源有限公司 | Intelligent photovoltaic monitoring platform |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10201086A (en) * | 1997-01-14 | 1998-07-31 | Nissin Electric Co Ltd | Solar beam power generation system |
| CN103001536A (en) * | 2011-09-08 | 2013-03-27 | 黄利刚 | Solar collector box |
| CN103166240A (en) * | 2011-12-15 | 2013-06-19 | 中国科学院电工研究所 | Grid-connected solar photovoltaic power station monitoring system |
| US20140070833A1 (en) * | 2012-09-11 | 2014-03-13 | Charles John Luebke | Method and apparatus for detecting a loose electrical connection in photovoltaic system |
| CN103715983A (en) * | 2013-12-26 | 2014-04-09 | 广东易事特电源股份有限公司 | Device and method for detecting faults of solar power generation system |
| CN104270091A (en) * | 2014-08-27 | 2015-01-07 | 国电南瑞南京控制系统有限公司 | Photovoltaic power generation equipment fault diagnosis method based on monitoring system |
| KR101485052B1 (en) * | 2013-03-12 | 2015-01-22 | 주식회사 케이디파워 | Analysis apparatus of photovoltaic power generation system |
-
2015
- 2015-04-22 CN CN201510197855.2A patent/CN104796082A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10201086A (en) * | 1997-01-14 | 1998-07-31 | Nissin Electric Co Ltd | Solar beam power generation system |
| CN103001536A (en) * | 2011-09-08 | 2013-03-27 | 黄利刚 | Solar collector box |
| CN103166240A (en) * | 2011-12-15 | 2013-06-19 | 中国科学院电工研究所 | Grid-connected solar photovoltaic power station monitoring system |
| US20140070833A1 (en) * | 2012-09-11 | 2014-03-13 | Charles John Luebke | Method and apparatus for detecting a loose electrical connection in photovoltaic system |
| KR101485052B1 (en) * | 2013-03-12 | 2015-01-22 | 주식회사 케이디파워 | Analysis apparatus of photovoltaic power generation system |
| CN103715983A (en) * | 2013-12-26 | 2014-04-09 | 广东易事特电源股份有限公司 | Device and method for detecting faults of solar power generation system |
| CN104270091A (en) * | 2014-08-27 | 2015-01-07 | 国电南瑞南京控制系统有限公司 | Photovoltaic power generation equipment fault diagnosis method based on monitoring system |
Cited By (49)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105391577B (en) * | 2015-11-18 | 2019-02-15 | 天合光能股份有限公司 | Intelligent photovoltaic module information tracking system based on terminal APP |
| CN105391577A (en) * | 2015-11-18 | 2016-03-09 | 常州天合光能有限公司 | Intelligent photovoltaic module information tracking system based on terminal APP |
| CN106877815B (en) * | 2015-12-14 | 2019-08-13 | 成都鼎桥通信技术有限公司 | The detection method and device that a kind of photovoltaic group series winding connects |
| CN106877815A (en) * | 2015-12-14 | 2017-06-20 | 成都鼎桥通信技术有限公司 | The detection method and device of a kind of photovoltaic group string connection |
| WO2017148336A1 (en) * | 2016-03-01 | 2017-09-08 | 华为技术有限公司 | Battery pack string fault identification method in photoelectric system, apparatus and device |
| US10985696B2 (en) | 2016-03-01 | 2021-04-20 | Huawei Technologies Co., Ltd. | Method, apparatus, and device for identifying cell string fault in optoelectronic system |
| CN106059496B (en) * | 2016-05-18 | 2018-03-16 | 华北电力大学 | A kind of photovoltaic module array performance monitoring and the method and system of Fault Identification |
| CN106059496A (en) * | 2016-05-18 | 2016-10-26 | 华北电力大学 | Method and system for monitoring performance and identifying faults of array of photovoltaic assembly |
| CN105811881B (en) * | 2016-05-27 | 2017-09-15 | 福州大学 | A kind of online diagnosing failure of photovoltaic array network system realization |
| CN105811881A (en) * | 2016-05-27 | 2016-07-27 | 福州大学 | On-line photovoltaic array fault diagnosis system implementing method |
| CN106448101A (en) * | 2016-09-09 | 2017-02-22 | 珠海格力电器股份有限公司 | Photovoltaic array monitoring system and method |
| CN106685357B (en) * | 2016-11-11 | 2019-04-12 | 中冶华天工程技术有限公司 | A kind of discrete loss detection system of photovoltaic array and method |
| CN106685357A (en) * | 2016-11-11 | 2017-05-17 | 中冶华天工程技术有限公司 | Photovoltaic array discrete loss detection system and method |
| CN108323219A (en) * | 2017-03-22 | 2018-07-24 | 胡炎申 | The control method of photovoltaic generating system and MPPT maximum power point tracking MPPT |
| CN107404287A (en) * | 2017-05-23 | 2017-11-28 | 扬州鸿淏新能源科技有限公司 | A kind of photovoltaic plant method for diagnosing faults |
| CN107547046A (en) * | 2017-09-01 | 2018-01-05 | 孙睿超 | A kind of automatic detection and troubleshooting methodology of intelligent photovoltaic cell system |
| CN107579597A (en) * | 2017-09-28 | 2018-01-12 | 杭州淘顶网络科技有限公司 | A kind of method of photovoltaic system Remote Fault Diagnosis and troubleshooting task distribution |
| CN107659265A (en) * | 2017-11-09 | 2018-02-02 | 陆刚 | Photovoltaic panel failure detector and system |
| CN108089509A (en) * | 2017-12-22 | 2018-05-29 | 苏州正易鑫新能源科技有限公司 | A kind of photo-voltaic power generation station long-distance management device and system |
| CN108039773A (en) * | 2017-12-22 | 2018-05-15 | 苏州正易鑫新能源科技有限公司 | A kind of long-range efficiency calculation apparatus and system of photo-voltaic power generation station |
| CN108494365A (en) * | 2018-05-30 | 2018-09-04 | 福州大学 | A kind of photovoltaic module and the online mismatch of component string monitor system |
| CN108736827A (en) * | 2018-06-15 | 2018-11-02 | 北京成文琪信科技有限公司 | A kind of solar photovoltaic assembly array data aggregating apparatus and its data processing method |
| CN108768296A (en) * | 2018-06-15 | 2018-11-06 | 北京成文琪信科技有限公司 | A kind of photovoltaic module monitoring method |
| CN108768295A (en) * | 2018-06-15 | 2018-11-06 | 北京成文琪信科技有限公司 | A kind of photovoltaic module hot spot monitoring method |
| CN108808861A (en) * | 2018-06-15 | 2018-11-13 | 北京成文琪信科技有限公司 | A kind of photovoltaic module monitoring system simultaneity solution |
| CN108551330A (en) * | 2018-06-22 | 2018-09-18 | 浙江源控节能科技有限公司 | A kind of photovoltaic module array monitoring system and monitoring method |
| CN108551330B (en) * | 2018-06-22 | 2024-06-04 | 浙江源控节能科技有限公司 | Photovoltaic module array monitoring system and monitoring method |
| CN108599724A (en) * | 2018-07-02 | 2018-09-28 | 中国电建集团江西省电力建设有限公司 | A kind of photovoltaic module on-line monitoring system and monitoring method |
| CN112567627B (en) * | 2018-08-07 | 2024-06-25 | 波浪实验室太阳测量学系统有限公司 | Photoelectric solar cell testing system and solar cell assembly line production method |
| CN112567627A (en) * | 2018-08-07 | 2021-03-26 | 波浪实验室太阳测量学系统有限公司 | Photovoltaic solar cell testing system for a pipeline solar cell production plant and method for optimizing a solar cell pipeline production using a photovoltaic solar cell testing system of this type |
| CN109298228A (en) * | 2018-09-13 | 2019-02-01 | 安徽天尚清洁能源科技有限公司 | A kind of Intelligence Diagnosis method and system based on photovoltaic group string current anomaly |
| CN109756029A (en) * | 2019-01-24 | 2019-05-14 | 国网山东省电力公司日照供电公司 | A kind of monitoring system for solar energy power generating |
| CN110445175A (en) * | 2019-08-15 | 2019-11-12 | 深圳库博能源科技有限公司 | A kind of photovoltaic power generation intelligent energy storage system |
| CN110535240A (en) * | 2019-09-02 | 2019-12-03 | 中建材蚌埠玻璃工业设计研究院有限公司 | A kind of Intelligent light photovoltaic generating system based on 5G |
| CN111077390A (en) * | 2019-12-11 | 2020-04-28 | 潍柴动力股份有限公司 | Service test method, device and equipment for electric control engine and storage medium |
| CN111077390B (en) * | 2019-12-11 | 2022-04-26 | 潍柴动力股份有限公司 | Service test method, device and equipment for electric control engine and storage medium |
| CN113157830A (en) * | 2020-01-22 | 2021-07-23 | 华为技术有限公司 | Position updating method and device for photovoltaic string |
| CN113157830B (en) * | 2020-01-22 | 2024-05-17 | 华为数字能源技术有限公司 | Position updating method and device for photovoltaic string |
| CN112383054A (en) * | 2020-11-19 | 2021-02-19 | 珠海格力电器股份有限公司 | Photovoltaic power generation system, fault processing method thereof and power generation equipment |
| WO2022155883A1 (en) * | 2021-01-22 | 2022-07-28 | 华为数字能源技术有限公司 | Detection method and related device |
| WO2023284290A1 (en) * | 2021-07-12 | 2023-01-19 | 中国华能集团清洁能源技术研究院有限公司 | Multi-dimensional tandem photovoltaic string data acquisition system and method |
| CN114123970A (en) * | 2021-10-15 | 2022-03-01 | 阳光电源股份有限公司 | Method, device and equipment for detecting power generation loss and computer storage medium |
| CN114123970B (en) * | 2021-10-15 | 2023-09-29 | 阳光电源股份有限公司 | Method, device, equipment and computer storage medium for detecting power generation loss |
| CN114094938A (en) * | 2021-11-23 | 2022-02-25 | 阳光电源（上海）有限公司 | Detection method and device of photovoltaic power generation system, photovoltaic power generation system and medium |
| CN115459709B (en) * | 2022-09-28 | 2023-11-10 | 浙江嘉朔智慧能源有限公司 | Remote monitoring system for photovoltaic power station |
| CN115459709A (en) * | 2022-09-28 | 2022-12-09 | 江苏宁瑞惠能电气技术有限公司 | Photovoltaic power plant remote monitering system |
| CN117060849A (en) * | 2023-07-26 | 2023-11-14 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
| CN117060849B (en) * | 2023-07-26 | 2024-06-11 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
| CN118367866A (en) * | 2024-02-05 | 2024-07-19 | 徐闻县粤水电能源有限公司 | Intelligent photovoltaic monitoring platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104796082A (en) | System and method for diagnosing faults of photovoltaic power generation systems in online manner | |
| CN111010084B (en) | Photovoltaic power station intelligent monitoring analysis platform and method | |
| CN109146093B (en) | Power equipment field investigation method based on learning | |
| CN104270091B (en) | A kind of photovoltaic power generation equipment method for diagnosing faults based on monitoring system | |
| CN106655159B (en) | New energy power station primary frequency modulation capability test system and test method thereof | |
| CN103454516B (en) | Intelligent transformer substation secondary equipment health state diagnostic method | |
| KR101238620B1 (en) | Trouble Recognition Apparatus for Photovoltaic System and Methord thereof | |
| CN114640173A (en) | Early warning model of transformer and generator based on many characteristic quantities | |
| CN110233877B (en) | Intelligent photovoltaic power generation fault comprehensive early warning system | |
| CN108092622B (en) | Photovoltaic string fault diagnosis method based on resistance calculation | |
| CN114971173B (en) | Intelligent power transmission panoramic management and control platform based on Internet of things technology | |
| CN103997298A (en) | Monitoring data collecting terminal of photovoltaic power station and monitoring data system | |
| CN103235221A (en) | Fault detecting system and fault detecting method for photovoltaic power station remote monitoring | |
| CN103453939A (en) | Electrical device intelligent monitoring and diagnosis system | |
| CN103606107A (en) | Wind power-solar power-energy storage combined power generation system equipment state assessment information system | |
| CN104821789A (en) | Method for detecting reliability of photovoltaic power generation system | |
| CN111047169A (en) | Fault analysis and detection system for power grid dispatching | |
| CN116080456A (en) | Portable electric pile that fills based on thing networking control and energy storage charge supervisory systems thereof | |
| KR101580669B1 (en) | Sequential wireless transmission system for monitoring data of photovoltaic power generation facility | |
| CN109149776A (en) | Transmission line of electricity applied to smart grid reliably monitors system | |
| CN111983512A (en) | Line grounding device monitoring system and method | |
| CN109298228A (en) | A kind of Intelligence Diagnosis method and system based on photovoltaic group string current anomaly | |
| CN109167433A (en) | A kind of substation concentrates the classification managing and control system and its method of O&M | |
| Wang et al. | A linear integer programming model for fault diagnosis in active distribution systems with bi-directional fault monitoring devices installed | |
| CN112217209A (en) | Method for checking low-voltage topological structure according to household meter power failure event |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150722 |
|
| WD01 | Invention patent application deemed withdrawn after publication |