CN113487151A - Intelligent power utilization and demand side response method, system and device based on 5G message - Google Patents
Intelligent power utilization and demand side response method, system and device based on 5G message Download PDFInfo
- Publication number
- CN113487151A CN113487151A CN202110707282.9A CN202110707282A CN113487151A CN 113487151 A CN113487151 A CN 113487151A CN 202110707282 A CN202110707282 A CN 202110707282A CN 113487151 A CN113487151 A CN 113487151A
- Authority
- CN
- China
- Prior art keywords
- demand side
- side response
- demand
- priority
- load
- 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
- 230000004044 response Effects 0.000 title claims abstract description 159
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000005611 electricity Effects 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 description 8
- 238000007726 management method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012913 prioritisation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 230000004043 responsiveness Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of intelligent power grid management, and discloses an intelligent power consumption and demand side response method, system and device based on 5G messages.
Description
Technical Field
The application relates to the technical field of intelligent power grid management, in particular to a method, a system and a device for intelligent power utilization and demand side response based on 5G messages.
Background
The smart grid is the development direction of the future power grid, and the demand response is one of important technologies in the smart grid technology. With the continuous promotion of intelligent power grid construction and the continuous rising of electricity consumption at the resident side, large power grid peak load is easily generated in winter and summer, and the influence of the difference between the peak load and the valley load on the stable operation of a power grid is increased. The demand response can reduce or push away the power consumption load of a certain period of time, reduces the peak-valley difference, ensures that the power supply in the smart grid is stable.
Since the user can obtain price advantage or incentive to participate in the demand side response, a large number of users enter into a contract for participating in the demand response service with a load integrator (a power selling company). When the power grid dispatching center initiates a demand side response regulation demand, a user declares according to the self-response capacity and the invitation time. In the prior art, usually, the response capacity declared by a user meets a certain proportion of a baseline load corresponding to a demand side response regulation demand, so that a bid can be bid, however, some bid winning users do not execute demand response according to declaration information, so that the comprehensive effective response capacity cannot meet the demand capacity issued by the demand side response regulation demand, and the reliability of demand side response regulation is low.
The 5G (5th generation, fifth generation mobile Communication technology) message is an enhanced information service based on the RCS (Rich Communication Suite) technology. Different from the traditional short message service, the 5G message supports rich media formats, and can send various multimedia messages to a receiving terminal through a short message inlet so as to provide interactive service and safe anti-counterfeiting service for users.
Disclosure of Invention
The embodiment of the application aims to provide an intelligent power utilization and demand side response method, system and device based on a 5G message, so that the occurrence rate of demand capacity situations that comprehensive effective response capacity cannot meet demand side response regulation and control demand release can be reduced, and the reliability of demand side response regulation and control is improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an intelligent electricity utilization and demand side response method based on 5G messages in a first aspect, which comprises the following steps:
generating a demand side response request in a 5G message form according to a demand side response regulation demand initiated by a power grid dispatching center and aiming at a specific region, and sending the demand side response request to all signed user nodes in the specific region, wherein the demand side response request comprises a declaration price, demand capacity issued by the demand side response regulation demand, a plurality of invitation periods and reference baseline load;
receiving declaration information fed back by each user node based on the demand side response request, wherein the declaration information comprises the responsive capacity corresponding to each invitation time period, and the corresponding user nodes with declaration information meeting the declaration requirement are taken as primary user nodes, and the declaration requirement is that the responsive capacity corresponding to each invitation time period declared in the declaration information is all larger than the set proportion of the reference baseline load;
after a demand response scheduling instruction of a power grid scheduling center is received, carrying out interrupt control on equipment loads of first-level user nodes from small to large according to historical participation demand side response unqualified times until the demand capacity of the power grid scheduling center reported by responses is met.
According to a manner that can be realized by the first aspect of the present invention, when the device load of the first-level user node is subjected to interrupt control, the device load is subjected to interrupt control sequentially from low to high according to the priority of the device until the reportable capacity reported by the first-level user node is reached.
According to a manner that can be realized by the first aspect of the present invention, the priority information of each device in the primary user node is determined by the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
According to an implementation manner of the first aspect of the present invention, the value range of the set ratio is 55% to 65%.
The second aspect of the invention provides an intelligent electricity utilization and demand side response system based on 5G messages, which comprises:
a demand side response request sending module, configured to generate a demand side response request in a 5G message format according to a demand side response regulation demand initiated by a power grid scheduling center for a specific region, and send the demand side response request to all signed user nodes in the specific region, where the demand side response request includes a declared price, demand capacity for issuing the demand side response regulation demand, multiple invitation periods, and a reference baseline load;
the declaration information receiving and processing module is used for receiving declaration information fed back by each user node based on the demand side response request, the declaration information comprises the response capacity corresponding to each invitation time period, the corresponding user node with the declaration information meeting the declaration requirement is used as a primary user node, and the declaration requirement is that the response capacity corresponding to each invitation time period declared in the declaration information is greater than the set proportion of the reference baseline load;
and the demand side response scheduling module is used for sequentially carrying out interruption control on the equipment load of the first-level user node from small to large according to the historical participation of the unqualified times of the demand side response after receiving a demand response scheduling instruction of the power grid scheduling center until the demand capacity reported to the power grid scheduling center by the response is met.
According to a manner that can be realized in the second aspect of the present invention, when the demand side response scheduling module performs interrupt control on the device load of a first-level user node, the interrupt control is performed on the device load sequentially from low to high according to the priority of the device until the replicable capacity declared by the first-level user node is reached.
According to a manner that can be realized by the second aspect of the present invention, the demand-side response scheduling module 3 includes a priority calculating unit, and the priority calculating unit is configured to determine the priority information of each device in the primary user node by using the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
According to an implementation manner of the second aspect of the present invention, the value range of the set ratio is 55% to 65%.
An embodiment of the third aspect of the present invention provides an intelligent electricity consumption and demand side response device based on a 5G message, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the processor implements the intelligent electricity consumption and demand side response method based on a 5G message as described in any one of the above.
A fourth aspect of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed, implements the intelligent electricity consumption and demand side response method based on 5G messages according to any one of the above embodiments.
According to the method, the user nodes meeting the declaration requirement are sequenced according to the sequence of the times of response failure to reach the standard from small to large of the historical participation demand side, the interruption control is preferentially implemented on the equipment load of the user nodes which are sequenced earlier, the occurrence rate of the situation that the comprehensive effective response capacity cannot meet the demand capacity issued by the demand side response regulation requirement is reduced, and the reliability of the demand side response regulation is improved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a preferred embodiment of an intelligent electricity consumption and demand side response method based on 5G messages according to the present invention;
fig. 2 is a schematic structural diagram of a preferred embodiment of the intelligent electricity consumption and demand side response system based on 5G messages provided by the invention.
Reference numerals:
the system comprises a demand side response request sending module 1, a declaration information receiving and processing module 2 and a demand side response scheduling module 3.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method of the invention can be executed by a demand side response regulation system of a load integrator (a power selling company).
Fig. 1 is a schematic flow chart of a preferred embodiment of the intelligent electricity consumption and demand side response method based on 5G messages according to the present invention.
As shown in fig. 1, the method includes:
s1, generating a demand side response request in a 5G message form according to a demand side response regulation demand initiated by a power grid dispatching center and aiming at a specific region, and sending the demand side response request to all signed user nodes in the specific region, wherein the demand side response request comprises a declaration price, demand capacity issued by the demand side response regulation demand, a plurality of invitation periods and reference baseline load.
Wherein, the type of the demand side response request in the form of the 5G message can be a text message, a file message, a rich text card message or a mixed message type. The different types of push information have different forms of message content, for example, the message content in a text message is text content. The 5G message is used for request interaction, the information quantity borne can be effectively improved, the communication time delay between a load integrator (an electricity selling company) and a user side is greatly reduced, the responsiveness is improved, the network pressure caused by large data transmission quantity and large equipment density is reduced, and meanwhile, the 5G message supports offline operation, so that the information can still be received under the condition of no network.
The contracted user node refers to a user node which has signed a demand side response service contract with a load integrator (a power selling company).
Wherein the reference baseline load may be queried from the power trading system.
S2, receiving declaration information fed back by each user node based on the demand side response request, wherein the declaration information comprises the responsive capacity corresponding to each invitation time period, and taking the corresponding user node of which the declaration information meets the declaration requirement as a primary user node, wherein the declaration requirement is that the responsive capacity corresponding to each invitation time period declared in the declaration information is all larger than the set proportion of the reference baseline load; .
Wherein, the value range of the set proportion is 55-65%, and preferably 60%.
And the user can determine whether to participate in the current demand side response or not through the declaration price, the demand capacity of the demand side response regulation demand release, a plurality of invitation periods and the reference baseline load, and if so, declaration information is sent. For example, the offer period for delivery is 9: 00-12: 00. 14: 00-17: 00. 18: 00-21: 00, the declaration information needs to include information corresponding to 9: 00-12: responsibilities of 00, corresponding to 14: 00-17: 00 and corresponding 18: 00-21: 00.
Assuming that the reference baseline load is 20MW, if the set proportion is 60%, the responsibilities reported by the user node need to be greater than 12 MW. Suppose correspondence reported by the user node 9: 00-12: 00 has a responsibilities of 16MW, corresponding to 14: 00-17: 00 has a responsibilities of 14MW and corresponds to 18: 00-21: 00 has a responsibilities of 16MW, i.e., each responsibilities is greater than 12MW, so that it can be determined that the reporting information of the ue satisfies the reporting requirement, and the ue is regarded as a primary ue.
S3, after receiving a demand response dispatching instruction of the power grid dispatching center, sequentially carrying out interrupt control on equipment loads of the first-level user nodes from small to large according to the number of times of response non-standard of the historical participation demand side until the demand capacity of the power grid dispatching center reported by the response is met.
The participation demand side response does not reach the standard, namely the demand response is not executed according to the declaration information after the winning participation demand side response, so that the effective response capacity is lower than a certain proportion of the response capacity in the declaration information. Preferably, the predetermined proportion is 50%. The load integrator (power selling company) can execute the demand response scheduling instruction of the power grid scheduling center every time and record the situation that the response of the user node signed with the load integrator does not reach the standard when participating in the demand side response.
According to the embodiment of the invention, the user nodes meeting the declaration requirement are sequenced according to the sequence of the times of historical participation in the response of the demand side from small to large, and the interruption control is preferentially implemented on the equipment load of the user node with the earlier sequencing, so that the occurrence rate of the situation that the comprehensive effective response capacity cannot meet the demand capacity issued by the response regulation and control demand of the demand side is reduced, and the reliability of the response regulation and control of the demand side is improved.
When the interruption control is carried out on the equipment load of the first-level user node, the interruption control is carried out on the equipment load in sequence from low to high according to the priority of the equipment until the replicable capacity declared by the first-level user node is reached.
The priority of the device of the present embodiment may be set by the user. In another preferred embodiment, the priority information of each device in the primary user node is determined by the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
It should be noted that, in this embodiment, the basic load weight, the user preference weight, the emergency weight, and the quality status weight may not be fixed, and the weight coefficients may all change under different environmental scenarios and times, for example, under the condition of an emergency, the emergency weight may be higher than the weight under the condition of no emergency, so as to flexibly schedule the load, achieve accurate balancing of the grid load, and ensure the reliability of automatic demand response implementation. In addition, in this embodiment, each device is further identified with user preference information, and a user identifies the user preference information according to the own electricity usage habit and preference, so that the user preference information of each device is obtained from the user device database of the user node, so as to form a user preference priority.
Therefore, in the embodiment, the priority information of each device in the user node is determined according to the basic load information, the user preference information, the emergency degree information and the quality state information, so that the basic power demand of the device is met by combining the basic load information, the feasibility of response regulation and control on the demand side and the satisfaction degree of the user are improved by combining the user preference information with the daily power demand of the user, the timely response is realized under the emergency condition by combining the emergency degree information, the reliability of the implementation of the demand response is improved, the load power consumption adjustment is realized within the allowed quality guarantee range by combining the quality state information, the power is minimized, and the negative influence on the device caused by the load power consumption adjustment during the demand response is reduced.
In some embodiments, the base load priority is obtained by:
acquiring load management information of equipment of a first-level user node;
judging whether the equipment is equipment capable of shifting loads or not according to the load management information; if yes, identifying corresponding basic load information as third type load equipment in a user equipment database corresponding to the first-level user node;
otherwise, judging whether the load of the equipment is adjustable; if so, identifying the corresponding basic load information as second type load equipment, otherwise, identifying the corresponding basic load information as first type load equipment;
and sequentially identifying the priorities of the first type load equipment, the second type load equipment and the third type load equipment from high to low so as to obtain the basic load priorities of the equipment.
In this embodiment, the first type of load device, i.e. the base load, is specifically a non-translatable load in which devices such as computers, building monitoring systems, etc. are not controllable. The second type of load device is a load adjustable device, specifically a load adjustable device such as a heating device and an electric lamp in a non-translatable load, and the load is adjusted by changing power parameters such as temperature and brightness. A third type of load device, i.e., a translatable load, such as a water heater, washing machine, etc., may be shifted from peak to valley periods of the grid. The devices form a mapping relationship with their base load information in the user device database. Therefore, the priority of the basic load is determined according to whether the load can be translated or adjusted, so that the basic load equipment has higher priority, the priority of the load equipment can be adjusted, the translatable load equipment has lower priority, the priority of the equipment is determined according to the actual power demand and the basic function of the equipment, the implementation reliability of demand response is realized, and the influence on daily basic life is reduced.
In some embodiments, the obtaining of the quality state priority comprises the steps of:
acquiring power information and operation time information of each device of a primary user node;
judging whether the equipment is equipment with long operation time or high power consumption according to the power information and the operation time information; if yes, identifying the corresponding quality state information as first-type quality equipment in the user equipment database; otherwise, the quality state information corresponding to the equipment identifier with short operation time or low power consumption is taken as second type quality equipment;
setting a quality state priority of the first type of quality device to be higher than a quality state priority of the second type of quality device.
In the present embodiment, the quality status information of the device is determined according to at least one of an operation time and power consumption of the device. Specifically, the device whose operation time exceeds a preset time threshold or whose power consumption is greater than a preset power threshold is identified in the user equipment database as the first-type quality device. And identifying the corresponding quality state information as the second type quality equipment in the user equipment database by the equipment of which the operation time is lower than the preset time threshold or the power consumption is lower than the preset power threshold. The quality state information is not fixed and needs to be dynamically adjusted, so that the quality state priority is adjusted accordingly. The devices form a mapping relationship with their quality status information in the user equipment database.
Therefore, the present embodiment can reduce the influence of the deterioration of the quality of the device due to the load power consumption of the device being adjusted by the demand response policy of the power grid to differently limit the functions of the device, improve the service life of the device, reduce the failure rate, and achieve the minimization of power within the allowable quality assurance range, by setting the quality state priority of the device having a long operation time or high power consumption to be higher than the quality state priority of the device having a short operation time or low power consumption.
In some embodiments, the obtaining of the quality status information further comprises:
acquiring use information of equipment, wherein the use information comprises service life information and fault record information;
judging whether the equipment is high-risk equipment or not according to the use information; if yes, identifying the corresponding quality state information as first-type quality equipment in the user equipment database; otherwise, the quality state information corresponding to the identifier is the second type quality equipment.
Among other things, since the demand response strategy of the power grid adjusts the load power consumption of the equipment by differently limiting the functions of the equipment, the power consumption is reduced when the power grid is on peak and increased when the power grid is off valley, which may cause the quality of the equipment to deteriorate. In this embodiment, a device with a long service life (i.e., service life information exceeding a preset service time threshold) and having a fault (i.e., fault record information is not empty) is identified as a high-risk device, and the high-risk device is prone to a device fault in a process of frequent power consumption adjustment, thereby possibly causing a power grid fault. Therefore, the quality state priority of the equipment (high-risk equipment) with longer service life or fault is set to be higher than that of the non-high-risk equipment, so that the available power can be preferentially distributed to the high-risk equipment, the equipment fault caused by power consumption adjustment can be effectively reduced, the stability of the power consumption of the high-risk equipment is improved, and the safety of the equipment and the stability of a power grid are improved.
In some embodiments, the emergency urgency priority is obtained by:
the method comprises the steps of obtaining an emergency in a power grid, sending the emergency to a user node in the power grid, enabling the user node to obtain equipment affected by the emergency and the emergency degree of the equipment from a user equipment database, and determining the emergency degree priority of each equipment according to the emergency degree.
In this embodiment, a mapping relationship between multiple emergency events and devices and a mapping relationship between each device and an emergency degree under the emergency event are set in the user equipment database, so that an emergency degree priority is formed according to the emergency degree of the device under the emergency event. Therefore, the emergency degree priority of each device is determined through the emergency of the power grid, timely response is achieved under the emergency condition, and the reliability of implementation of demand response is improved.
The embodiment of the second aspect of the invention provides an intelligent electricity utilization and demand side response system based on a 5G message.
Fig. 2 is a schematic structural diagram of a preferred embodiment of the intelligent power consumption and demand side response system based on 5G messages, which is provided by the present invention and can implement the intelligent power consumption and demand side response method based on 5G messages described in any of the above embodiments.
As shown in fig. 2, the system includes:
a demand side response request sending module 1, configured to generate a demand side response request in a 5G message format according to a demand side response regulation demand initiated by a power grid scheduling center for a specific region, and send the demand side response request to all signed user nodes in the specific region, where the demand side response request includes a declared price, demand capacity for issuing the demand side response regulation demand, multiple invitation periods, and a reference baseline load;
the declaration information receiving and processing module 2 is configured to receive declaration information fed back by each user node based on the demand side response request, where the declaration information includes a response capacity corresponding to each invitation period, and the corresponding user node whose declaration information satisfies a declaration requirement is used as a primary user node, where the declaration requirement is that the response capacities corresponding to each invitation period declared in the declaration information are all greater than a set proportion of the reference baseline load;
and the demand side response scheduling module 3 is used for sequentially carrying out interruption control on the equipment loads of the first-level user nodes from small to large according to the historical participation of the unqualified times of the demand side response after receiving a demand response scheduling instruction of the power grid scheduling center until the demand capacity of the power grid scheduling center reported by the response is met.
According to a manner that can be implemented in the second aspect of the present invention, when the demand side response scheduling module 3 performs interrupt control on the device load of a first-level user node, the interrupt control is performed on the device load sequentially from low to high according to the priority of the device until the replicable capacity declared by the first-level user node is reached.
According to a manner that can be realized by the second aspect of the present invention, the demand-side response scheduling module 3 includes a priority calculating unit, and the priority calculating unit is configured to determine the priority information of each device in the primary user node by using the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
According to an implementation manner of the second aspect of the present invention, the value range of the set ratio is 55% to 65%.
In some embodiments, the demand side response scheduling module 3 further comprises a base load priority determining unit configured to:
acquiring load management information of equipment of a first-level user node;
judging whether the equipment is equipment capable of shifting loads or not according to the load management information; if yes, identifying corresponding basic load information as third type load equipment in a user equipment database corresponding to the first-level user node;
otherwise, judging whether the load of the equipment is adjustable; if so, identifying the corresponding basic load information as second type load equipment, otherwise, identifying the corresponding basic load information as first type load equipment;
and sequentially identifying the priorities of the first type load equipment, the second type load equipment and the third type load equipment from high to low so as to obtain the basic load priorities of the equipment.
In some embodiments, the demand-side response scheduling module 3 further comprises a quality status priority determining unit configured to:
acquiring power information and operation time information of each device of a primary user node;
judging whether the equipment is equipment with long operation time or high power consumption according to the power information and the operation time information; if yes, identifying the corresponding quality state information as first-type quality equipment in the user equipment database; otherwise, the quality state information corresponding to the equipment identifier with short operation time or low power consumption is taken as second type quality equipment;
setting a quality state priority of the first type of quality device to be higher than a quality state priority of the second type of quality device.
In some embodiments, the quality state prioritization unit is further to:
acquiring use information of equipment, wherein the use information comprises service life information and fault record information;
judging whether the equipment is high-risk equipment or not according to the use information; if yes, identifying the corresponding quality state information as first-type quality equipment in the user equipment database; otherwise, the quality state information corresponding to the identifier is the second type quality equipment.
In some embodiments, the demand side response scheduling module 3 further comprises an emergency urgency priority determination unit for:
the method comprises the steps of obtaining an emergency in a power grid, sending the emergency to a user node in the power grid, enabling the user node to obtain equipment affected by the emergency and the emergency degree of the equipment from a user equipment database, and determining the emergency degree priority of each equipment according to the emergency degree.
The functions and implementation manners of the modules in the above embodiment of the system of the present invention are the same as those in the above embodiment of the intelligent power consumption and demand side response method based on the 5G message, and specific analysis may refer to the above embodiment of the intelligent power consumption and demand side response method based on the 5G message, and are not described herein again to avoid repetition.
In a third aspect of the present invention, an intelligent electricity consumption and demand side response device based on a 5G message is provided, where the device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor, when executing the computer program, implements the intelligent electricity consumption and demand side response method based on a 5G message according to any one of the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed, implements the intelligent electricity consumption and demand side response method based on 5G messages according to any one of the above embodiments.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor, and the processor is a control center of the intelligent power consumption and demand side response device based on the 5G message, and various interfaces and lines are used to connect various parts of the whole intelligent power consumption and demand side response device based on the 5G message.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the intelligent electricity consumption and demand side response apparatus based on 5G messages by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the module/unit integrating the intelligent power consumption and demand side response device based on the 5G message can be stored in a computer readable storage medium if the module/unit is realized in the form of a software functional unit and is sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.
Claims (10)
1. Intelligent power utilization and demand side response method based on 5G message is characterized by comprising the following steps:
generating a demand side response request in a 5G message form according to a demand side response regulation demand initiated by a power grid dispatching center and aiming at a specific region, and sending the demand side response request to all signed user nodes in the specific region, wherein the demand side response request comprises a declaration price, demand capacity issued by the demand side response regulation demand, a plurality of invitation periods and reference baseline load;
receiving declaration information fed back by each user node based on the demand side response request, wherein the declaration information comprises the responsive capacity corresponding to each invitation time period, and the corresponding user nodes with declaration information meeting the declaration requirement are taken as primary user nodes, and the declaration requirement is that the responsive capacity corresponding to each invitation time period declared in the declaration information is all larger than the set proportion of the reference baseline load;
after a demand response scheduling instruction of a power grid scheduling center is received, carrying out interrupt control on equipment loads of first-level user nodes from small to large according to historical participation demand side response unqualified times until the demand capacity of the power grid scheduling center reported by responses is met.
2. The intelligent power consumption and demand side response method based on 5G messages according to claim 1, wherein when the interruption control is performed on the equipment load of the first-level user node, the interruption control is performed on the equipment load sequentially from low to high according to the priority of the equipment until the reportable capacity declared by the first-level user node is reached.
3. The intelligent power consumption and demand side response method based on 5G messages according to claim 2, wherein the priority information of each device in the primary user node is determined by the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
4. The intelligent electricity consumption and demand side response method based on 5G messages according to claim 1, wherein the set proportion is in a range of 55-65%.
5. Intelligent power consumption and demand side response system based on 5G message, characterized in that, the system includes:
a demand side response request sending module, configured to generate a demand side response request in a 5G message format according to a demand side response regulation demand initiated by a power grid scheduling center for a specific region, and send the demand side response request to all signed user nodes in the specific region, where the demand side response request includes a declared price, demand capacity for issuing the demand side response regulation demand, multiple invitation periods, and a reference baseline load;
the declaration information receiving and processing module is used for receiving declaration information fed back by each user node based on the demand side response request, the declaration information comprises the response capacity corresponding to each invitation time period, the corresponding user node with the declaration information meeting the declaration requirement is used as a primary user node, and the declaration requirement is that the response capacity corresponding to each invitation time period declared in the declaration information is greater than the set proportion of the reference baseline load;
and the demand side response scheduling module is used for sequentially carrying out interruption control on the equipment load of the first-level user node from small to large according to the historical participation of the unqualified times of the demand side response after receiving a demand response scheduling instruction of the power grid scheduling center until the demand capacity reported to the power grid scheduling center by the response is met.
6. The intelligent power consumption and demand side response system based on 5G messages according to claim 5, wherein when the demand side response scheduling module performs interrupt control on the equipment load of a first-level user node, the interrupt control is performed on the equipment load in sequence from low to high according to the priority of the equipment until the reportable capacity declared by the first-level user node is reached.
7. The intelligent power consumption and demand side response system based on 5G messages according to claim 6, wherein the demand side response scheduling module comprises a priority calculating unit, the priority calculating unit is used for determining the priority information of each device in the primary user node by the following formula:
w＝a1w1+a2w2+a3w3+a4w4
where w is the priority of the device, w1 is the priority of the base load, w2 is the priority of the user preference, w3 is the priority of the emergency degree, w4 is the priority of the quality state, a1 is the weight of the base load, a2 is the weight of the user preference, a3 is the weight of the emergency degree, and a4 is the weight of the quality state.
8. The intelligent power consumption and demand side response system based on 5G messages as claimed in claim 5, wherein the set proportion is in a range of 55% -65%.
9. The intelligent electricity consumption and demand side response device based on the 5G message is characterized by comprising a processor, a memory and a computer program which is stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to realize the intelligent electricity consumption and demand side response method based on the 5G message according to any one of claims 1-4.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, which when executed, implements the intelligent power consumption and demand side response method based on 5G messages according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110707282.9A CN113487151A (en) | 2021-06-23 | 2021-06-23 | Intelligent power utilization and demand side response method, system and device based on 5G message |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110707282.9A CN113487151A (en) | 2021-06-23 | 2021-06-23 | Intelligent power utilization and demand side response method, system and device based on 5G message |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113487151A true CN113487151A (en) | 2021-10-08 |
Family
ID=77935979
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110707282.9A Pending CN113487151A (en) | 2021-06-23 | 2021-06-23 | Intelligent power utilization and demand side response method, system and device based on 5G message |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113487151A (en) |
Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02118760A (en) * | 1981-04-01 | 1990-05-07 | Teradata Corp | Multi-processor system and utilization thereof |
| JP2002271982A (en) * | 2001-03-14 | 2002-09-20 | Ennet Corp | Superfluous electric power managing system and its control method |
| US20110251731A1 (en) * | 2010-04-12 | 2011-10-13 | Samsung Electronics Co., Ltd. | Demand response method and demand response system |
| KR20140104727A (en) * | 2013-02-21 | 2014-08-29 | 주식회사 케이티 | Discovery Method in M2M System using Classification and Priority |
| JP2015037354A (en) * | 2013-08-12 | 2015-02-23 | 株式会社Ihi | Power supply apparatus for shared portion of multiple dwelling house |
| CN104978610A (en) * | 2015-07-01 | 2015-10-14 | 国家电网公司 | Power grid demand side dispatchable capacity prediction method and power dispatching method |
| CN105096040A (en) * | 2015-07-21 | 2015-11-25 | 国家电网公司 | Method for automatically sorting demand response users |
| GB201601697D0 (en) * | 2016-01-29 | 2016-03-16 | Hitachi Ltd | Demand-side management method and system |
| US20160099565A1 (en) * | 2014-10-03 | 2016-04-07 | Electric Energy Express Corporation | Intelligent electric grid management system and method |
| CN105743089A (en) * | 2016-04-25 | 2016-07-06 | 国网浙江省电力公司 | Flexible load based demand side load control method and system |
| CN105932683A (en) * | 2016-04-25 | 2016-09-07 | 国网浙江省电力公司 | Load regulation and control method and system based on demand response |
| CN106058855A (en) * | 2016-06-16 | 2016-10-26 | 南京工程学院 | Active power distribution network multi-target optimization scheduling method of coordinating stored energy and flexible load |
| US20160314481A1 (en) * | 2015-04-22 | 2016-10-27 | Electronics And Telecommunications Research Institute | Method and apparatus for automated electricity demand response based on online trading of demand side resources |
| CN106505560A (en) * | 2016-11-28 | 2017-03-15 | 无锡智合电力技术有限公司 | A kind of network optimization operation method of many policy co-ordinations based on response priority |
| CN107546736A (en) * | 2016-06-26 | 2018-01-05 | 国网天津市电力公司 | A kind of virtual regulating units dispatching method based on automatic demand response |
| CN108599177A (en) * | 2018-05-23 | 2018-09-28 | 云南电网有限责任公司 | A kind of automatic demand response strategy of resident based on dynamic priority |
| CN110163578A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of batch carries out the virtual plant system of peak load shifting business |
| CN110163689A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | Excitation calculation method based on the unilateral virtual plant system bidded of user side |
| CN110322092A (en) * | 2018-03-30 | 2019-10-11 | 南京理工大学 | One provenance net lotus multiplayer gaming economic load dispatching method |
| CN110994602A (en) * | 2019-12-10 | 2020-04-10 | 深圳供电局有限公司 | Power grid dispatching demand response system and method |
| CN111697594A (en) * | 2020-06-22 | 2020-09-22 | 南方电网科学研究院有限责任公司 | Demand response control method, system and equipment for limiting load reduction rate of power grid |
| CN111985959A (en) * | 2020-07-31 | 2020-11-24 | 深圳华工能源技术有限公司 | System architecture and method for demand side to regulate resource aggregation to participate in demand response |
| CN112085371A (en) * | 2020-09-02 | 2020-12-15 | 南京邮电大学 | Power demand response system based on 5G communication and control method |
| CN112365184A (en) * | 2020-11-26 | 2021-02-12 | 国电南瑞科技股份有限公司 | Demand response scheduling method considering historical load integrator regulation and control performance |
| CN112529372A (en) * | 2020-11-26 | 2021-03-19 | 国电南瑞科技股份有限公司 | Accurate load regulation and control method considering user satisfaction |
-
2021
- 2021-06-23 CN CN202110707282.9A patent/CN113487151A/en active Pending
Patent Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02118760A (en) * | 1981-04-01 | 1990-05-07 | Teradata Corp | Multi-processor system and utilization thereof |
| JP2002271982A (en) * | 2001-03-14 | 2002-09-20 | Ennet Corp | Superfluous electric power managing system and its control method |
| US20110251731A1 (en) * | 2010-04-12 | 2011-10-13 | Samsung Electronics Co., Ltd. | Demand response method and demand response system |
| KR20140104727A (en) * | 2013-02-21 | 2014-08-29 | 주식회사 케이티 | Discovery Method in M2M System using Classification and Priority |
| JP2015037354A (en) * | 2013-08-12 | 2015-02-23 | 株式会社Ihi | Power supply apparatus for shared portion of multiple dwelling house |
| US20160099565A1 (en) * | 2014-10-03 | 2016-04-07 | Electric Energy Express Corporation | Intelligent electric grid management system and method |
| US20160314481A1 (en) * | 2015-04-22 | 2016-10-27 | Electronics And Telecommunications Research Institute | Method and apparatus for automated electricity demand response based on online trading of demand side resources |
| CN104978610A (en) * | 2015-07-01 | 2015-10-14 | 国家电网公司 | Power grid demand side dispatchable capacity prediction method and power dispatching method |
| CN105096040A (en) * | 2015-07-21 | 2015-11-25 | 国家电网公司 | Method for automatically sorting demand response users |
| GB201601697D0 (en) * | 2016-01-29 | 2016-03-16 | Hitachi Ltd | Demand-side management method and system |
| CN105743089A (en) * | 2016-04-25 | 2016-07-06 | 国网浙江省电力公司 | Flexible load based demand side load control method and system |
| CN105932683A (en) * | 2016-04-25 | 2016-09-07 | 国网浙江省电力公司 | Load regulation and control method and system based on demand response |
| CN106058855A (en) * | 2016-06-16 | 2016-10-26 | 南京工程学院 | Active power distribution network multi-target optimization scheduling method of coordinating stored energy and flexible load |
| CN107546736A (en) * | 2016-06-26 | 2018-01-05 | 国网天津市电力公司 | A kind of virtual regulating units dispatching method based on automatic demand response |
| CN106505560A (en) * | 2016-11-28 | 2017-03-15 | 无锡智合电力技术有限公司 | A kind of network optimization operation method of many policy co-ordinations based on response priority |
| CN110322092A (en) * | 2018-03-30 | 2019-10-11 | 南京理工大学 | One provenance net lotus multiplayer gaming economic load dispatching method |
| CN108599177A (en) * | 2018-05-23 | 2018-09-28 | 云南电网有限责任公司 | A kind of automatic demand response strategy of resident based on dynamic priority |
| CN110163689A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | Excitation calculation method based on the unilateral virtual plant system bidded of user side |
| CN110163578A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of batch carries out the virtual plant system of peak load shifting business |
| CN110994602A (en) * | 2019-12-10 | 2020-04-10 | 深圳供电局有限公司 | Power grid dispatching demand response system and method |
| CN111697594A (en) * | 2020-06-22 | 2020-09-22 | 南方电网科学研究院有限责任公司 | Demand response control method, system and equipment for limiting load reduction rate of power grid |
| CN111985959A (en) * | 2020-07-31 | 2020-11-24 | 深圳华工能源技术有限公司 | System architecture and method for demand side to regulate resource aggregation to participate in demand response |
| CN112085371A (en) * | 2020-09-02 | 2020-12-15 | 南京邮电大学 | Power demand response system based on 5G communication and control method |
| CN112365184A (en) * | 2020-11-26 | 2021-02-12 | 国电南瑞科技股份有限公司 | Demand response scheduling method considering historical load integrator regulation and control performance |
| CN112529372A (en) * | 2020-11-26 | 2021-03-19 | 国电南瑞科技股份有限公司 | Accurate load regulation and control method considering user satisfaction |
Non-Patent Citations (8)
| Title |
|---|
| 代佰华;盖鹏宇;李平;刘迪;庞波;: "用于电力需求侧管理节能项目节约电力电量的测评方法", 电气应用, no. 24 * |
| 史彤晖;王江波;寇凌峰;井天军;熊雄;: "基于动态家电优先级的智能家电管理控制方案", 电测与仪表, no. 23 * |
| 宋运忠;司琦;: "基于需求响应的家庭节电省电优化策略研究", 测控技术, no. 04 * |
| 曾鸣;王冬容;陈贞;: "需求侧响应在电力批发市场中的应用", 电力需求侧管理, no. 01 * |
| 沈海平;姜念;卞玉;: "基于国际对标的配电网诊断体系研究与应用", 湖北电力, no. 03 * |
| 窦晓波;孙帅;陆斌;吴在军;刘晶;袁晓冬;: "基于空调自适应修正模型的户用微电网能量优化", 电力系统自动化, no. 15 * |
| 符杨;廖剑波;李振坤;张静炜;唐昕;: "考虑时序特性的主动配电网静态安全分析", 电力系统自动化, no. 24 * |
| 郭创新;周恒俊;秦杰;: "分布式企业级电气化监控和能量管理系统(E~3CS)", 电力科学与技术学报, no. 01 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20100094476A1 (en) | Energy usage monitoring method and system | |
| CN112947734B (en) | Server power consumption control method, system, terminal and storage medium | |
| CN113688001A (en) | Dynamic balancing method and device for server hard disk power consumption, terminal and storage medium | |
| CN117590792B (en) | Intelligent control method, system, terminal and medium based on large-scale direct drinking water equipment | |
| CN112990719B (en) | Intelligent power supply management method and system and computer readable storage medium | |
| CN112701709B (en) | Power supply control method and device for base station and electronic equipment | |
| CN110707729B (en) | Method and device for analyzing multi-region primary frequency modulation condition and storage medium | |
| CN113487151A (en) | Intelligent power utilization and demand side response method, system and device based on 5G message | |
| CN110768305A (en) | Method, device and equipment for coordinating standby resources and storage medium | |
| CN114069722B (en) | Intelligent management control method and system for equipment based on Internet of things | |
| CN113541172B (en) | Power conversion method, power conversion system, electronic device and storage medium | |
| CN116316557A (en) | Energy storage cluster aggregation method and device suitable for spot market | |
| CN111193258A (en) | Method and system for optimizing power generation amount of micro-grid | |
| CN110991919A (en) | Distributed energy scheduling method, distributed energy management system and virtual power plant | |
| CN118316127B (en) | Park power resource scheduling method and device | |
| CN112803396B (en) | Capacity measurement method and device of frequency modulation unit and electronic equipment | |
| Hu et al. | Research on peak load optimization model considering interruptible load at peak time | |
| JPWO2018181731A1 (en) | Energy management method, energy management device, and energy management system | |
| JP7354394B2 (en) | Power management device and power management method | |
| CN117175587B (en) | Power distribution network scheduling optimization method, system, terminal and medium considering flexible load | |
| CN117433052A (en) | Gas-electric-air heat source scheduling method and device and electronic equipment | |
| CN118472941A (en) | Control method, device, equipment, medium and product of storage and filling integrated machine station | |
| CN115986723A (en) | Power system adjusting method and device, storage medium and processor | |
| CN115833185A (en) | Energy management method, device and system for cluster energy storage of wind-thermal power plant | |
| CN117039835A (en) | 5G base station energy storage regulation and control method considering power supply reliability and demand response |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| AD01 | Patent right deemed abandoned | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20240830 |