CN115967083A - Operation control method and system of virtual power plant - Google Patents
Operation control method and system of virtual power plant Download PDFInfo
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- CN115967083A CN115967083A CN202211573077.9A CN202211573077A CN115967083A CN 115967083 A CN115967083 A CN 115967083A CN 202211573077 A CN202211573077 A CN 202211573077A CN 115967083 A CN115967083 A CN 115967083A
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Abstract
The invention relates to the technical field of virtual power plants, and provides an operation control method and system of a virtual power plant, which comprises the following steps: acquiring the geographic positions and the power consumption requirements of all load side users in a virtual power plant and user agent information of load aggregators, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster; the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster; for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters; and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit. And the data congestion problem in a centralized control mode is relieved.
Description
Technical Field
The invention belongs to the technical field of virtual power plants, and particularly relates to an operation control method and system of a virtual power plant.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
At present, a virtual power plant adopts three operation modes for users at present, namely user default remote control, remote control after user confirmation and user local control after user confirmation. However, in the user default remote control operation, the user has the right to be notified and rejected without confirmation, and when the user rejects the remote operation, the time cost increases.
In addition, the network topology structure is changed due to the power distribution network fault, the original scheduling strategy of the virtual power plant is not applicable, and the research on how the virtual power plant responds when the power distribution network is in fault is lacked so as to ensure the safe and stable operation of the system.
Traditional virtual plant control modes can be divided into centralized control, centralized-decentralized control and fully decentralized control. Traditional centralized control can generate extremely high information access cost due to the characteristics of large total amount, small single-point capacity, various characteristics and spatial dispersion of distributed resources.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides an operation control method and system of a virtual power plant, which relieve the problem of data congestion in a centralized control mode through a dynamic centralized control mode.
In order to achieve the purpose, the invention adopts the following technical scheme:
a first aspect of the present invention provides an operation control method of a virtual power plant, including:
acquiring the geographic positions, the power consumption requirements and the user agent information of load aggregators of all load side users in the virtual power plant, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster;
the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster;
for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit.
Further, still include: and responding to the fault modification request, updating and submitting the energy scheduling scheme to a power distribution management system for safety audit, and after the audit is passed, re-scheduling the energy according to the line voltage or capacity out-of-limit information fed back by the power distribution network.
Further, the constraint conditions of the virtual power plant include: all variable constraints after the virtual power plant polymerization; load resource output and climbing range constraint can be adjusted; the range of active power of the distributed power supply is restricted; the range of the operation of the storage battery is restricted; and (4) energy balance constraint.
Further, the clustering algorithm adopts a distributed clustering algorithm.
A second aspect of the present invention provides an operation control system of a virtual power plant, comprising:
a user clustering module configured to: acquiring the geographic positions, the power consumption requirements and the user agent information of load aggregators of all load side users in the virtual power plant, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster;
a distributed energy site clustering module configured to: the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster;
an aggregation module configured to: for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
a scheduling module configured to: and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit.
Further, the method also comprises the following steps: a fault modification module configured to: and responding to the fault modification request, updating and submitting the energy scheduling scheme to a power distribution management system for safety audit, and re-scheduling the energy according to line voltage or capacity out-of-limit information fed back by the power distribution network after the audit is passed.
Further, the constraint conditions of the virtual power plant include: all variable constraints after the virtual power plant polymerization; load resource output and climbing range constraint can be adjusted; range constraint of active power of the distributed power supply; the range of the operation of the storage battery is restricted; and (4) energy balance constraint.
Further, the clustering algorithm adopts a distributed clustering algorithm.
A third aspect of the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps in a method for operation control of a virtual power plant as described above.
A fourth aspect of the present invention provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of a method for controlling the operation of a virtual power plant as described above when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an operation control method of a virtual power plant, which adopts a dynamic centralized control mode and can relieve the problem of data congestion in the centralized control mode.
The invention provides an operation control method of a virtual power plant, which provides a real-time fault modification mode and a virtual power plant scheduling precision improving method, can improve the transaction efficiency of the virtual power plant, and improves the marketization benefit of the virtual power plant.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flowchart of a dynamic centralized control mode according to a first embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Example one
The embodiment provides an operation control method of a virtual power plant, as shown in fig. 1, including the following steps:
step 1, constructing a virtual power plant model.
Considering random optimization and robust optimization technologies, the constraint conditions of the virtual power plant model include: 1) All variable constraints after the virtual power plant polymerization; 2) Load resource output and climbing range constraint can be adjusted; 3) Range constraint of active power of the distributed power supply; 4) The operation range of the storage battery is restricted; 5) And (5) energy balance constraint. Under the aggregation of virtual power plants, users such as enterprises and residents can participate in electric power market transaction, and user-side resources such as production lines, electric boilers, buildings and charging piles can also become micro generators to participate in electric power market transaction and acquire peak shaving auxiliary service cost.
The operation mode of the virtual power plant to the user equipment is four: 1) The virtual power plant control center directly starts and stops or adjusts the user equipment; 2) The virtual power plant control center informs a user that the user refuses to start or stop or adjust the equipment; 3) The virtual power plant control center informs a user, and the virtual power plant remotely operates equipment after the user confirms the operation; 4) The virtual power plant control center informs the user, and the user confirms the information and controls the information locally.
The coordination operation of the virtual power plant and the power distribution management system: 1) The virtual power plant formulates a day-ahead transaction scheme according to the history and the prediction data and submits the day-ahead transaction scheme to a power distribution management system; 2) And aggregating real-time distributed energy, power distribution network and market information by the virtual power plant, and keeping a day-ahead scheduling scheme or adjusting, wherein the adjustment is sent to the distributed energy station for execution after the safety audit of the power distribution management system is carried out if needed.
Service scenes of the virtual power plant: the method mainly comprises auxiliary service transaction, demand side response, spot transaction and energy efficiency optimization.
Assisting in service transactions: and participating in peak regulation, frequency modulation and standby of the power grid, providing power generation capacity by allocating controllable resources, ensuring stable operation of the power grid and acquiring subsidy income.
Demand side response: and the virtual power plant cuts load according to the volume on time according to the contract requirement, ensures the balance of supply and demand of the power grid and obtains subsidy income.
Spot transaction: and carrying out trading on the power spot market by a representative producer-seller cluster, optimizing the operation supply and demand of a power grid, and acquiring and dividing income.
Energy efficiency optimization: the method provides energy resource optimization management service for large users, predicts the price fluctuation of the power market, helps the users to decide the power consumption behavior of adjustable load, acts to purchase power business, provides an intelligent power consumption scheme, and obtains income from customers.
The virtual power plant comprises six functional modules: the system comprises a credit module, resource archive management, information monitoring and analysis, transaction declaration management, cooperative regulation and control response and agent allocation settlement.
A reputation module: because a transparent information platform is not disclosed among the distributed energy resource units, the virtual power plant cannot be selected in an environment with symmetrical information, and the credit cost is increased. The invention considers the block chain technology and the applicability of the power market, and utilizes the block chain technology to allow the information to be transparently shared in the enterprise network and can not delete or modify the chain. And the reputation module is designed, so that the fairness and the credibility of the trading system are increased.
The resource file management covers the audit of registered users, resource user files, virtual power plant files, agency contract management, industrial and commercial file management and the like; the information monitoring and analysis comprises resource panoramic monitoring, resource distribution overview, historical data statistics and a measurement marking model; the transaction declaration management comprises a resource combination scheme, a day-ahead collaborative plan and peak clipping and valley filling declaration; designing a day-ahead response plan, real-time cooperative regulation and monitoring of aggregation power by cooperative regulation and control response; the agent allocation settlement comprises delivery data maintenance and virtual power plant accounting functions.
And 2, controlling the virtual power plant by adopting a dynamic centralized control mode.
The traditional virtual power plant control modes can be divided into centralized control, centralized-decentralized control and complete decentralized control, and the embodiment takes relieving centralized control as an entry point and provides a dynamic centralized control mode.
As shown in fig. 1, the specific steps of the dynamic centralized control mode are as follows:
step 201, acquiring the geographical positions of all load side users, agent relation information of load aggregators and power consumption requirements, and dividing the load side users into a plurality of clusters by adopting a distributed clustering algorithm (k-Dmeas clustering algorithm), wherein each cluster is called a user cluster;
step 202, obtaining the operating characteristics and operating conditions of all distributed energy stations, and dividing the distributed energy stations into a plurality of clusters by adopting a distributed clustering algorithm (k-Dmeas clustering algorithm), wherein each cluster is called an energy station cluster;
step 203, for a certain user cluster, selecting one resource aggregation group from all the energy station clusters and forming a resource aggregation group with the user cluster according to the corresponding relation (which can be set manually) between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
and 204, taking the resource aggregation group as a unit, and scheduling energy between the load side users and the distributed energy stations.
Dynamic centralized control mode: a dynamic resource aggregation group is introduced between a user side and a virtual power plant transaction management system, load side users with similar geographic positions, same load aggregators or similar power utilization requirements or distributed energy stations with similar operation characteristics and operation conditions are aggregated by using a k-Dmeass clustering algorithm, and a resource aggregation group taking a certain geographic position, the same load aggregators, a certain power utilization requirement, a certain operation characteristic and a certain operation condition as a clustering center correspondingly is provided, so that the virtual power plant transaction management system provides a corresponding resource aggregation suggestion for the user side.
The resource aggregation group is a resource aggregation group with common characteristics for load side users and distributed energy stations according to geographic positions, business agency relations, user power consumption requirements and distributed energy operation characteristics. The dynamic state refers to the situation that a virtual power plant trading management system gives real-time dynamic aggregated group change suggestions according to the change situation of power market trading rules, the user intention of a load side, the change of business agency relations, the change of distributed energy plant sites and the like. The final aggregation effect can be dynamically negotiated by the distributed energy station, the user side and the intelligent platform side.
k-Dmeans clustering algorithm: the k-means clustering algorithm assigns each object to the nearest cluster center to it, and the cluster centers and the objects assigned to them represent a cluster. The distributed clustering algorithm K-Dmeas is an extension of the K-means clustering algorithm in a distributed environment. The method comprises the steps of firstly carrying out local clustering, then calculating the distance between each sample point and all clustering centers, and transmitting data objects which do not belong to the local clustering to the sites corresponding to the clusters to which the data objects belong.
For example: 1) Based on geographic positions and actual wishes of user sides, micro-grid systems in campuses, industrial parks and the like in the same area can be locally aggregated into a dynamic resource aggregation group, parameters and price information of various flexible resources in the micro-grid do not need to be uploaded to a power grid, a whole is formed according to the range of the dynamic resource aggregation group, information required by a virtual power plant is reported uniformly, and access cost is reduced. 2) Based on K-means clustering algorithm, clustering spatially dispersed distributed resources, clustering resource topology, operation conditions and operation characteristics are clustered, cluster composition is dynamically adjusted, a plurality of distributed energy clustering centers are formed, and the influence of uncertainty of participating in resource adjustment on scheduling behavior is reduced.
And 3, when the power distribution network fails, in order to ensure the continuation of the cooperative working mode, avoiding a fault point and reapplying an energy scheduling scheme. The invention designs a real-time fault modification mode to solve the problem of faults.
The virtual power plant adopts a real-time fault modification mode, and the real-time fault modification mode comprises the following specific steps:
(1) The system finds and sends fault information and a real-time fault modification request to the virtual power plant;
(2) Virtual power plants switch to a real-time fault-modifiable mode (in radial networks, faults typically divide the energy into fault upstream and downstream groups);
(3) The virtual power plant submits the updated scheduling scheme to a power distribution management system for safety audit, if the audit is passed, the step (5) is executed, and if the audit is not passed, the step (4) is executed;
(4) The virtual power plant readjusts the energy output according to line voltage or capacity out-of-limit information fed back by the power distribution network, and repeats the step 3 until the verification is passed;
(5) A new scheduling scheme is executed.
Example two
The embodiment provides an operation control system of a virtual power plant, which specifically includes:
a user clustering module configured to: acquiring the geographic positions and the power consumption requirements of all load side users in a virtual power plant and user agent information of load aggregators, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster;
a vendor clustering module configured to: the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster;
an aggregation module configured to: for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
a scheduling module configured to: and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit.
A fault modification module configured to: and responding to the fault modification request, updating and submitting the energy scheduling scheme to a power distribution management system for safety audit, and after the audit is passed, re-scheduling the energy according to the line voltage or capacity out-of-limit information fed back by the power distribution network.
It should be noted that, each module in the present embodiment corresponds to each step in the first embodiment one to one, and the specific implementation process is the same, which is not described herein again.
EXAMPLE III
The present embodiment provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in an operation control method of a virtual power plant as described in the first embodiment above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps in the operation control method of the virtual power plant according to the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. 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 (10)
1. An operation control method of a virtual power plant, comprising:
acquiring the geographic positions, the power consumption requirements and the user agent information of load aggregators of all load side users in the virtual power plant, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster;
the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster;
for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit.
2. The operation control method of a virtual power plant according to claim 1, further comprising: and responding to the fault modification request, updating and submitting the energy scheduling scheme to a power distribution management system for safety audit, and after the audit is passed, re-scheduling the energy according to the line voltage or capacity out-of-limit information fed back by the power distribution network.
3. The method of claim 1, wherein the constraints of the virtual power plant comprise: all variable constraints after the virtual power plant polymerization; load resource output and climbing range constraint can be adjusted; range constraint of active power of the distributed power supply; the range of the operation of the storage battery is restricted; and (5) energy balance constraint.
4. The method of claim 1, wherein the clustering algorithm is a distributed clustering algorithm.
5. An operation control system of a virtual power plant, comprising:
a user clustering module configured to: acquiring the geographic positions, the power consumption requirements and the user agent information of load aggregators of all load side users in the virtual power plant, and dividing the load side users into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called a user cluster;
a distributed energy clustering module configured to: the method comprises the steps of obtaining the operating characteristics and operating conditions of all distributed energy stations in a virtual power plant, and dividing the distributed energy stations into a plurality of clusters by adopting a clustering algorithm, wherein each cluster is called an energy station cluster;
an aggregation module configured to: for a certain user cluster, selecting one from all the energy station clusters to form a resource aggregation group with the user cluster according to the corresponding relation between the clustering center of the user cluster and the clustering centers of all the energy station clusters;
a scheduling module configured to: and performing energy scheduling between the load side users and the distributed energy stations by taking the resource aggregation group as a unit.
6. The operation control system of a virtual power plant according to claim 5, further comprising: a fault modification module configured to: and responding to the fault modification request, updating and submitting the energy scheduling scheme to a power distribution management system for safety audit, and re-scheduling the energy according to line voltage or capacity out-of-limit information fed back by the power distribution network after the audit is passed.
7. The operation control system of a virtual power plant according to claim 5, wherein the constraints of the virtual power plant include: all variable constraints after the virtual power plant polymerization; load resource output and climbing range constraint can be adjusted; range constraint of active power of the distributed power supply; the range of the operation of the storage battery is restricted; and (5) energy balance constraint.
8. The operation control system of a virtual power plant according to claim 5, characterized in that the clustering algorithm employs a distributed clustering algorithm.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of a method for controlling operation of a virtual power plant according to any of the claims 1-4.
10. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of a method of operation control of a virtual power plant according to any one of claims 1-4.
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