CN115310655A - Virtual power plant power aggregation and regulation optimization method - Google Patents
Virtual power plant power aggregation and regulation optimization method Download PDFInfo
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- CN115310655A CN115310655A CN202210670611.1A CN202210670611A CN115310655A CN 115310655 A CN115310655 A CN 115310655A CN 202210670611 A CN202210670611 A CN 202210670611A CN 115310655 A CN115310655 A CN 115310655A
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Abstract
The invention discloses a virtual power plant power aggregation and regulation optimization method, which comprises the steps of obtaining operation basic data of a power distribution system in a virtual power plant platform; the method comprises the steps of establishing an optimization scheme according to operation basic data of a power distribution system in a virtual power plant platform, wherein the virtual power plant platform is a set of energy management system, organically combines multiple adjustable resources including water conservancy power generation, wind power generation, photovoltaic power generation, factory load, an electric vehicle, energy storage equipment, building ventilation and heating and clean heating, and regulates and optimizes the adjustable resources through a communication technology and a control technology.
Description
Technical Field
The invention relates to the technical field of virtual power plants, in particular to a virtual power plant power aggregation and regulation optimization method.
Background
As a large number of distributed power sources are connected to a power distribution network, new challenges are brought to the operation of the power distribution network due to instability of processing of the distributed power sources; the urban building load is rapidly increased, and the peak-valley difference is continuously increased, so that the difficulty of increasing the operation of a power grid is increased. Demand response based on distributed power supply side, energy storage side and user side flexibility load is taken as an effective adjusting means, the problems can be effectively solved to a certain extent, a Virtual Power Plant (VPP) is a form which realizes a renewable distributed power generation local access system and has the most advantage of improving the energy utilization efficiency of the system, various distributed energy sources can be integrated, and the Virtual power plant comprises a distributed power supply, a flexibility load and an energy storage system, is based on a highly integrated and high-speed two-way communication network, integrates advanced sensing, control and high-end electrical equipment, adopts an advanced information communication technology and an energy management system, flexibly mobilizes wide distributed energy sources, energy storage systems and flexibility loads in an area, thereby integrates into a unified novel aggregate, and provides a high-reliability, high-quality and high-safety comprehensive energy service for the system. When VPPs aggregate these resources, the optimization of their capacity needs to be studied in depth in order to form more reasonable VPP resource allocation capacity.
The existing research aiming at the virtual power plant mainly aims at load or power supply planning of electric vehicles, wind energy and photovoltaic, but does not have the functions of power and electric quantity balance, energy storage management, strategy operation, optimization and coordinated operation and the like, and a virtual power plant power aggregation and regulation optimization method is needed to solve the problem.
Disclosure of Invention
The invention aims to provide a virtual power plant power aggregation and regulation optimization method to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a virtual power plant power aggregation and regulation optimization method comprises the following steps: step (1): acquiring operation basic data of a power distribution system in a virtual power plant platform; constructing an optimization scheme according to the running basic data of the power distribution system in the virtual power plant platform;
step (2): the virtual power plant platform is a set of energy management system, organically combines various adjustable resources such as water conservancy power generation, wind power generation, photovoltaic power generation, factory load, electric vehicles, energy storage equipment, building ventilation and heating and clean heating, and regulates and optimizes the adjustable resources through a communication technology and a control technology;
and (3): the virtual power plant platform is connected with a demand response service, a multi-load management service and an intelligent AI algorithm through a cloud platform and an open API interface to perform analysis and calculation for optimization;
and (4): the demand response business firstly extends function ranges of different response forms to the micro-grid station side through a response plan of response plan management, flattening optimization is carried out, response access and response are more convenient and quicker, response resource management carries out multi-time scale coordination through day rolling optimization and real-time correction, virtual power plant scheduling and control are guaranteed, response capacity analysis is carried out based on response capacity analysis of an ultra-short-term power load and power generation prediction model to balance active power deviation, active power control requirements and optimal response scheduling are met, response correction capacity informs participation and reserved quantity of demand response resources to carry out constraint before a current scheduling plan is formulated according to a short-term load prediction error band, preparation is made for correcting day-ahead plan deviation of a day-ahead adjustment plan, and a final virtual power plant aggregation optimization result is obtained.
Furthermore, the multi-load management service is flexibly applicable to various stations integrating photovoltaic, energy storage, charging piles, building industry and commerce, light storage and charging and the like; and organizing the virtual power plant to participate in the electric power marketization transaction business.
Furthermore, the intelligent AI algorithm is adaptive to the actual environment through a self-learned virtual power plant response and distribution strategy, a microgrid control and cooperative scheduling algorithm model and prediction based on deep learning by combining an energy storage AI charge-discharge cost evaluation model.
Furthermore, the cloud platform and the open API are mainly used for constructing a cloud architecture, so that cloud management of the station group can be realized; and a standard API interface is provided, and API data sharing with a three-party ecological partner system is realized.
Furthermore, the demand response service is divided into response plan management, response resource management, response capability analysis and response correction capability.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention relates to a virtual power plant power aggregation and regulation optimization method, which connects virtual power plant aggregation resources to a cloud platform, and is respectively connected with a demand response service, a multi-load management service and an intelligent AI algorithm through the cloud platform, wherein the demand response service is divided into response plan management, response resource management, response capacity analysis and response correction capacity, the response plan of the response plan management extends function ranges in different response forms to a microgrid station side, and is optimized in a flattened mode.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a virtual power plant aggregation resource of a virtual power plant power aggregation and regulation optimization method according to an embodiment of the invention;
FIG. 2 is a system block diagram of a virtual power plant power aggregation and regulation optimization method according to an embodiment of the invention;
fig. 3 is a system block diagram of a demand response service of a virtual power plant power aggregation and regulation optimization method according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following drawings and detailed description:
referring to fig. 1 to 3, a virtual power plant power aggregation and regulation optimization method according to an embodiment of the present invention includes the following steps: step (1): acquiring operation basic data of a power distribution system in a virtual power plant platform; constructing an optimization scheme according to the running basic data of the power distribution system in the virtual power plant platform;
step (2): the virtual power plant platform is a set of energy management system, organically combines various adjustable resources such as water conservancy power generation, wind power generation, photovoltaic power generation, factory load, electric vehicles, energy storage equipment, building ventilation and heating and clean heating, and regulates and optimizes the adjustable resources through a communication technology and a control technology;
and (3): the virtual power plant platform is connected with a demand response service, a multi-load management service and an intelligent AI algorithm through a cloud platform and an open API interface to perform analysis and calculation for optimization;
and (4): the method comprises the steps that a demand response service firstly extends function ranges of different response forms to the micro-grid station side through a response plan of response plan management, flattening optimization is conducted, response access and response processes are more convenient and faster, response resource management is conducted through multi-time scale coordination through day-in rolling optimization and real-time correction, virtual power plant scheduling and control are guaranteed, response capacity analysis is conducted to balance active power deviation based on response capacity analysis of an ultra-short-term power load and power generation prediction model, active power control requirements and optimal response scheduling are met, response correction capacity is informed of participation and reserved quantity of demand response resources to conduct constraint according to short-term load prediction error bands before scheduling planning on days, preparation is made for correcting day-ahead plan deviation of a day-in adjustment plan, and the final virtual power plant aggregation optimization result is obtained.
In the embodiment, the multi-load management service is flexibly applicable to various stations such as photovoltaic, energy storage, charging piles, building industry and commerce, light storage and charging integration and the like; and organizing the virtual power plant to participate in the electric power marketization transaction business.
In the embodiment, the intelligent AI algorithm is adapted to the actual environment through a self-learned virtual power plant response and distribution strategy, a microgrid control and cooperative scheduling algorithm model, prediction based on deep learning, and an energy storage AI charge-discharge cost evaluation model.
In the embodiment, the cloud platform and the open API interface mainly constitute a cloud architecture, so that station group cloud management can be realized; and a standard API interface is provided, and API data sharing with a three-party ecological partner system is realized.
In this embodiment, the demand response service is divided into response plan management, response resource management, response capability analysis, and response correction capability.
In the specific application, the virtual power plant aggregated resources are connected to a cloud platform, the cloud platform is respectively connected with a demand response service, a multi-load management service and an intelligent AI algorithm, the demand response service is divided into response plan management, response resource management, response capacity analysis and response correction capacity, the response plan management plans extend function ranges in different response forms to the micro-grid station side, the flat optimization is realized, the response access and the response process are more convenient and quick, the response resource management is coordinated in multiple time scales through a day rolling optimization method and a real-time correction method, the virtual power plant scheduling and control are guaranteed, the response capacity analysis is based on the response capacity analysis of an ultra-short-term power load and a power generation power prediction model to balance the active power deviation, the active power control demand and the response scheduling are met, the response correction capacity is restricted according to a load prediction error band, the participation amount and the reserved amount of the demand response resources are notified before the day scheduling plan is scheduled, and the day-ahead plan deviation is prepared for day-time adjustment and correction of the power plant power aggregated resources, and the obtained power plant power aggregated scheme is optimized.
In the description of the present invention, it should be noted that the terms "top", "bottom", "one side", "the other side", "front", "back", "middle part", "inside", "top", "bottom", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention; the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; furthermore, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that various changes, modifications and substitutions can be made without departing from the spirit and scope of the invention as defined by the appended claims. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A virtual power plant power aggregation and regulation optimization method is characterized by comprising the following steps: step (1): acquiring operation basic data of a power distribution system in a virtual power plant platform; constructing an optimization scheme according to the operation basic data of the power distribution system in the virtual power plant platform;
step (2): the virtual power plant platform is a set of energy management system, organically combines various adjustable resources such as water conservancy power generation, wind power generation, photovoltaic power generation, factory load, electric vehicles, energy storage equipment, building ventilation and heating and clean heating, and regulates and optimizes the adjustable resources through a communication technology and a control technology;
and (3): the virtual power plant platform is connected with a demand response service, a multi-load management service and an intelligent AI algorithm through a cloud platform and an open API interface to perform analysis calculation and optimization;
and (4): the demand response service firstly extends function ranges of different response forms to the micro-grid station side through a response plan of response plan management, flattening optimization is carried out, response access and response processes are more convenient and quicker, response resource management carries out multi-time scale coordination through day rolling optimization and real-time correction, virtual power plant scheduling and control are guaranteed, response capacity analysis is carried out based on response capacity analysis of an ultra-short-term power load and power generation prediction model to balance active power deviation, active power control requirements and optimal response scheduling are met, response correction capacity informs participation and reserved quantity of demand response resources to restrain before a current scheduling plan is made according to a short-term load prediction error band, preparation is made for correcting day-ahead plan deviation of a day adjustment plan, and a final virtual power plant aggregation optimization result is obtained.
2. The method for virtual power plant power aggregation and regulation and control optimization according to claim 1, wherein the multi-load management service is flexibly applicable to a plurality of stations such as photovoltaic, energy storage, charging pile, building industry and commerce, and light storage and charging integration; and organizing the virtual power plant to participate in the electric power marketization transaction business.
3. The virtual power plant power aggregation and regulation optimization method according to claim 1, wherein the intelligent AI algorithm is adapted to the actual environment through a self-learned virtual power plant response and distribution strategy, microgrid control and cooperative scheduling algorithm model, and based on deep learning prediction in combination with an energy storage AI charge-discharge cost evaluation model.
4. The virtual power plant power aggregation, regulation and control optimization method according to claim 1, wherein the cloud platform and the open API interface are mainly framework cloud architectures, and can realize station group cloud management; and a standard API interface is provided, and API data sharing with a three-party ecological partner system is realized.
5. The virtual power plant power aggregation and regulation optimization method according to claim 1, wherein the demand response service is divided into response plan management, response resource management, response capability analysis, and response correction capability.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116070797A (en) * | 2023-03-29 | 2023-05-05 | 国网浙江省电力有限公司宁波供电公司 | Virtual power plant distributed resource scheduling method |
| CN116231765A (en) * | 2023-05-09 | 2023-06-06 | 上海融和元储能源有限公司 | Virtual power plant output control method |
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- 2022-06-13 CN CN202210670611.1A patent/CN115310655A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116070797A (en) * | 2023-03-29 | 2023-05-05 | 国网浙江省电力有限公司宁波供电公司 | Virtual power plant distributed resource scheduling method |
| CN116070797B (en) * | 2023-03-29 | 2023-08-22 | 国网浙江省电力有限公司宁波供电公司 | Virtual power plant distributed resource scheduling method |
| CN116231765A (en) * | 2023-05-09 | 2023-06-06 | 上海融和元储能源有限公司 | Virtual power plant output control method |
| CN116231765B (en) * | 2023-05-09 | 2023-09-19 | 上海融和元储能源有限公司 | Virtual power plant output control method |
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