Virtual power plant flexible resource calling method and device based on power grid visual angle and medium

Abstract

The invention belongs to the technical field of virtual power plant resource scheduling, and discloses a virtual power plant flexible resource calling method and device based on a power grid visual angle and a medium, so as to solve the problems that the contribution of flexible resources to the state change of a power distribution network is ignored, the performance evaluation is inaccurate, the response result is not in place, and the response intention is not clear. The method comprises the following steps: acquiring real-time measurement data of each flexible resource of each virtual power plant and grid-connected point topological structure data, and establishing a power grid view angle; obtaining the response capability and historical response data of each flexible resource of each virtual power plant to calculate the contribution degree to a power grid node, the excitation response intention, the response qualification rate, the response rate, the response preparation time and the response duration to construct a user portrait; and obtaining a response demand or an auxiliary service interaction adjustment demand generated by the power grid, and calling flexible resources to execute an interaction response in combination with the constructed power grid view angle and the user portrait so as to meet whole-network and local real-time demands of the power grid, thereby completing flexible resource calling.

Description

Technical Field

[0001] The present invention belongs to the technical field of virtual power plant resource scheduling, and specifically relates to a method, device and medium for flexible resource calling of a virtual power plant based on a power grid perspective. Background Art

[0002] Under the background of the new power system, the load-side structure has undergone significant changes, from the traditional source-follow-load mode to a new stage of source-load interaction. In this process, massive flexible loads have achieved the transformation from simple consumers to "prosumers", significantly enhancing the flexible adjustment capacity of the load side. However, when implementing power auxiliary services such as demand response and peak-shaving, current market organizers often only focus on the regulation of the overall demand of the power grid, but ignore the specific impact of the response process of decentralized resources on the operating status of the distribution network. Specifically, when performing the peak-shaving operation of the entire network, the flexible resources involved in the virtual power plant need to respond by reducing their own load or increasing power generation. However, if the upper feeders or main transformers connected to these resources are in a state of reverse flow or even "reverse overload" due to large-scale power generation of renewable energy, then although the load reduction regulation of these flexible resources meets the overall demand of the entire network, it may increase the operating burden of the local distribution network. On the contrary, when performing the valley filling of the entire network, the regulation of another flexible resource of the virtual power plant meets the requirements of the entire network, but it may also increase the operating pressure of the local overloaded distribution network.

[0003] In summary, when participating in demand response or ancillary services, virtual power plants generally do not consider the impact of the flexible resource response process on their upper-level main transformers, feeders and branches. More importantly, in the process of market organization, most regions tend to only focus on the total amount of response, while ignoring the changes in the distribution network operation status caused by the decentralized resource response process. This shows that the current call for flexible resources of virtual power plants is still in its early stages, and there are still problems such as inaccurate flexible resource performance evaluation, inadequate response results, and unclear response intentions. Summary of the invention

[0004] Based on the above-mentioned shortcomings and deficiencies in the prior art, one of the objects of the present invention is to at least solve one or more of the above-mentioned problems in the prior art. In other words, one of the objects of the present invention is to provide a method, device and medium for calling flexible resources of a virtual power plant based on a power grid perspective that meets one or more of the aforementioned needs, so as to ensure the accuracy, effectiveness and reliability of resource calling, and at the same time optimize the market organization process, not only focusing on the total amount of response, but also deeply considering the changes in the distribution network status caused by the response process of decentralized resources, so as to improve the utilization efficiency of flexible resources of virtual power plants, clarify the response intention, accurately evaluate resource performance, and ensure that the response results are in place.

[0005] In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a method for calling flexible resources of a virtual power plant based on a power grid perspective, comprising the steps of: S1, obtaining real-time measurement data and grid connection point topology data of each flexible resource of each virtual power plant, and establishing a power grid perspective based on this; S2, obtaining the response capability and historical response data of each flexible resource of each virtual power plant, and calculating the contribution to the power grid node based on this. , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration , and construct user profiles of each flexible resource of each virtual power plant; S3, obtain the response demand or auxiliary service interactive adjustment demand generated by the power grid, and call the corresponding flexible resources to perform corresponding interactive responses in combination with the constructed power grid perspective and the user profile to meet the full network and local real-time needs of the power grid, thereby completing the call of flexible resources of the virtual power plant.

[0006] As a preferred solution, the calculation of the contribution of the grid node Includes steps: Get a load Its branch line And upper feeder The original trends are and ; Based on the load node tracking method, combined with the power proportional method, a load is calculated. Its branch line and upper feeder The new trends are and ; Get a load Adjustable Capability , Annual maximum load and annual minimum load ; based on , and , calculate a load Adjustable capacity ratio ; Based on the , and , calculate a load For its branch line And upper feeder The node contribution of and ; Based on the load The node contribution of each load in the same virtual power plant is calculated by combining the power proportional method to calculate the node contribution of the other loads in the same virtual power plant to the branch line Li where it is located and the node contribution to the upper feeder LKm; The contribution of each load of the virtual power plant to the grid node is calculated based on the flexible resources connected to the virtual power plant to the main transformer. Node contribution .

[0007] As a preferred solution, the total number of flexible resources of the virtual power plant is , then a load in the virtual power plant is recorded as , and ,load The adjustable capacity accounts for ,load For a branch line The node contribution of , for the upper feeder The node contribution of , main transformer The total number of feeders is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is .

[0008] As a preferred solution, the incentive response willingness of a flexible resource The calculation formula is , where Indicates the number of times the flexible resource participates in the response. Indicates that the flexible resource The actual response power, represents the annual maximum load of the flexible resource, represents the annual minimum load of the flexible resource, Indicates The incentive price for the response.

[0009] As a preferred solution, suppose a flexible resource is The response power when participating in the response is The target response value is ,when The flexible resource is considered qualified in this response. The expression of the response result when participating in the response is ; The response qualification rate of a certain flexible resource The calculation formula is , where The total number of responses that the flexible resource has participated in. The number of times the flexible resource responds with a qualified result. The number of times the flexible resource responded with an unqualified result.

[0010] As a preferred solution, suppose a flexible resource is The time from the beginning of the response to the change to the received 90% target response value during the first response , which is 0.9 The time used is , the flexible resource is The expression of the response rate when the participant responds is: , then the overall response rate of the flexible resource is .

[0011] As a preferred solution, The response preparation time The calculation formula is ; The response duration The calculation formula is , where For flexible resources Sub-response target response value Duration or The duration of the continuous batch target value issuance, in minutes.

[0012] As a preferred solution, in step S3, the corresponding flexible resources are called to execute corresponding interactive responses in combination with the constructed power grid perspective and the user portrait, including: Based on the contribution of grid nodes Sort the flexible resources and call them to participate in the response according to the sorting results; Incentive-based response willingness Adjust the magnitude of the incentive price; Based on response qualification rate Adjust the size of backup resources; Based on response rate , Response preparation time and response duration , real-time assessment of flexible resources.

[0013] In a second aspect, the present invention provides an electronic device, wherein the computer device includes a memory, a processor, and a computer program, and when the computer program is executed by the processor, the method for calling flexible resources of a virtual power plant as described in the first aspect is implemented.

[0014] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for calling flexible resources of a virtual power plant as described in the first aspect is implemented.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. From the perspective of the constructed power grid, the virtual power plant management agency can effectively test whether the regulation process of each virtual power plant aggravates the local heavy overload or power flow reverse phenomenon in the process of organizing the peak shaving and valley filling service of the whole network, and has the ability to manage the local congestion of the distribution network.

[0016] 2. The flexible resources of virtual power plants are analyzed in six dimensions (contribution to grid nodes, , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration ) ensures that the service grid can truly make flexible resources “observable, adjustable and controllable”.

[0017] 3. By improving the effective management and application level of virtual power plants in the power grid, the safe and stable operation capability of the power grid is further enhanced, and the operating costs are significantly reduced, and the overall efficiency is improved. This not only helps to ensure the reliability of power supply, but also brings economic benefits to the power grid company, achieving the goal of reducing costs and increasing efficiency.

[0018] 4. It is universal and can be widely used and promoted.

[0019] Further or more detailed beneficial effects will be described in detail in conjunction with specific examples in the specific implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a flow chart of the flexible resource calling method of a virtual power plant described in an embodiment of the present invention.

[0022] Figure 2 It is a schematic diagram of the original tidal current distribution described in the embodiment of the present invention.

[0023] Figure 3 It is a schematic diagram of the new trend distribution described in the embodiment of the present invention.

[0024] Figure 4 is a structural diagram of the electronic device provided in an embodiment of the present invention.

[0025] Figure Number: 400. Electronic equipment; 401, processor; 402, communication bus; 403, user interface; 404, network interface; 405, memory. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0027] In the following description, multiple embodiments of the present invention are provided, and different embodiments may be replaced or combined, so the present invention may also be considered to include all possible combinations of the same and / or different embodiments described. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present invention should also be considered to include embodiments containing one or more of A, B, C, and D, all other possible combinations, even though the embodiment may not be clearly described in the following text.

[0028] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present invention. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the described order, and various steps may be added, omitted or combined. In addition, the features described in some examples may be combined in other examples.

[0029] In order to facilitate a better understanding of the embodiments of the present invention, before explaining the specific implementation modes of the present invention in detail, its application scenarios are first described.

[0030] The virtual power plant flexible resource calling method described in the embodiments of this specification is applied to a variety of power supply and demand management processes. In these scenarios, the application of the virtual power plant flexible resource calling method is intended to optimize the allocation and scheduling of power resources, thereby improving energy utilization efficiency, enhancing the stability and response speed of the power grid, so that the power system can better adapt to the volatility of renewable energy, and meet the power needs of users in different time periods and conditions, so as to provide high-quality user experience and reliable performance.

[0031] The following describes the virtual power plant, flexible resources, and contribution to the grid nodes involved in multiple embodiments of this specification. , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration A brief explanation: Virtual power plants use advanced information communication and monitoring and control technologies to achieve the aggregation and coordinated optimization of distributed energy sources such as distributed power sources, energy storage systems, controllable loads, and electric vehicles. As a special power plant, it participates in the power market and power grid operation as a power coordination management system. It does not actually generate electricity, but integrates various distributed energy resources to simulate traditional power plants to provide power services to the system.

[0032] Flexible resources are resources in virtual power plants that can quickly adjust their output or consumption based on actual power demand or market price signals. These resources include but are not limited to distributed generation units (such as solar and wind power), energy storage systems, adjustable loads (such as industrial and commercial electricity), electric vehicle charging stations, etc.

[0033] Contribution to the grid node It refers to the contribution of the adjustable capacity of flexible resources at each node (or area) in the power grid to the overall stability, economy or security of the power grid.

[0034] Incentive response willingness It refers to the willingness of resource owners or operators in the electricity market to participate in virtual power plant dispatch and respond to grid demand adjustments (such as peak shaving and valley filling, frequency regulation, etc.). This is usually affected by economic incentives (such as subsidies, electricity price differences), policy requirements or social responsibilities.

[0035] Response qualification rate It refers to the ratio of the number or capacity of flexible resources actually responded to the number or capacity required by the virtual power plant dispatch instruction after the virtual power plant dispatch instruction is issued. A high response qualification rate means that resources can be adjusted accurately and reliably according to the instruction, which helps to improve the stability and efficiency of the power grid.

[0036] Response rate It refers to the time required from the virtual power plant issuing a dispatch instruction to the flexible resources starting to actually respond (such as adjusting output power). A faster response rate helps the power grid to quickly respond to load fluctuations or faults and improve the dynamic response capability of the power grid.

[0037] Response preparation time It is used to reflect the timeliness of flexible resources. It is the time required for the flexible resources to receive the response target and start the entire preparation process (such as adjusting the equipment status, starting the backup power supply, etc.). This at least includes the information transmission within the resource, equipment inspection, status adjustment and other processes.

[0038] Response duration It refers to the duration that flexible resources can maintain the response target value or the duration of continuous response to the continuous response target value, which is used to reflect the sustainability of flexible resource response. The length of the response duration directly affects the resource's support effect on the power grid and its own operating costs.

[0039] Embodiment 1: like Figure 1 As shown, this embodiment provides a method for calling flexible resources of a virtual power plant based on a power grid perspective, including the following steps: S1, obtaining real-time measurement data and grid connection point topology data of each flexible resource of each virtual power plant, and establishing a power grid perspective based on this; S2, obtaining the response capability and historical response data of each flexible resource of each virtual power plant, and calculating the contribution to the power grid node based on this. , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration , and construct user profiles of each flexible resource of each virtual power plant; S3, obtain the response demand or auxiliary service interactive adjustment demand generated by the power grid, and call the corresponding flexible resources to perform corresponding interactive responses in combination with the constructed power grid perspective and the user profile to meet the full network and local real-time needs of the power grid, thereby completing the call of flexible resources of the virtual power plant.

[0040] It can be understood that this embodiment constructs the power grid perspective of the virtual power plant management center through interconnection with the dispatching automation system, distribution automation system, marketing system, and procurement system. This ensures full-link model matching and data integration from substations to lines, transformers, and even to the user end. The relevant measurement data and electrical topology can be synchronized with the virtual power plant management center in real time. In the process of organizing and managing virtual power plant operators, the management center can accurately grasp the real-time measurement data of flexible resources within each virtual power plant, the topology of the grid connection point, and can trace back to the connected branch lines, feeders, main transformers, etc. Therefore, the virtual power plant management center has a comprehensive grasp of the dynamic and static information of all registered flexible resources from the perspective of the power grid, providing a good foundation for the virtual power plant management center to further optimize resource allocation and improve energy utilization efficiency.

[0041] It is particularly important to note that there are many studies on the evaluation of "adjustable capacity" (the responsiveness of the flexible resources). Usually, flexible resources are divided into three categories: interruptible, transferable, and shiftable, and their flexibly adjustable capabilities are quantified. This is the most basic characteristic analysis of flexible resources and will not be repeated in this embodiment.

[0042] Specifically, this embodiment provides a preferred implementation method, wherein the calculation of the contribution of the grid node Includes steps: Get a load Its branch line And upper feeder The original trends are and ; Based on the load node tracking method, combined with the power proportional method, a load is calculated. Its branch line and upper feeder The new trends are and ; Get a load Adjustable Capability , Annual maximum load and annual minimum load ; based on , and , calculate a load Adjustable capacity ratio ; Based on the , and , calculate a load For its branch line And upper feeder The node contribution of and ; Based on the load The node contribution is calculated by combining the power proportional method to calculate the contribution of the other loads of the same virtual power plant to its branch line. Node contribution, and the contribution to the upper feeder Node contribution of The contribution of each load of the virtual power plant to the main transformer is calculated based on the contribution of each load of the virtual power plant to the grid node. Node contribution .

[0043] Specifically, this embodiment provides a preferred implementation method, assuming that the total number of flexible resources of the virtual power plant is , then a load in the virtual power plant is recorded as , and ,load The adjustable capacity accounts for ,load For its branch line The node contribution of , for the upper feeder The node contribution of , main transformer The total number of feeders is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is .

[0044] More specifically, this embodiment adopts the load node flow tracking method, and reversely derives the load occupancy rate of a node's flexible resources (such as flexible load) to each branch line or upper feeder through the current flow distribution. On the basis of the known adjustable capacity of the flexible resource, its response capacity can be calculated to the node contribution of each branch line or upper feeder to reflect the support degree of the flexible resource response process to the safe and stable operation of the distribution network. Figure 2-Figure 3 Take this as an example to explain in detail: Figure 2The topological structure and power flow distribution of the distribution network, as well as detailed information on the main transformer, feeder and load nodes are given. In order to simplify the calculation, the network line loss is ignored.

[0045] When using the load node tracking method to calculate the contribution of flexible resource response capacity to grid nodes, the current flow needs to be “reversed”, that is, all feeder input nodes in the topology ( , ) is equivalent to a load node with the same power. All load nodes ( - ) is equivalent to the input node with the same power, and the branch line flow direction ( - ) becomes opposite to the original direction. In addition, when calculating the load When the node contribution is greater than the original load node contribution, the power of other load nodes is set to zero, and the "power proportional method" is used to determine the "calculated load" based on the original power flow distribution state. The new power flow distribution under the condition of "node contribution" is obtained, thus obtaining the load Response to branch line And to the upper feeder The node contributions are and , in the above formula, , Load The response to the branch line , upper feeder Node contribution, , Calculate the load Node contribution time branch , upper feeder The new trend, , Branch lines , upper feeder The original trend, For load Quantified adjustable capacity ratio, i.e. load The adjustable part in / (annual maximum load - annual minimum load).

[0046] It can be understood that the power proportional method means that for a certain topological node, when the power injected into the node is , the power of the three branches out of the node are , , Sometimes, there is ; If the injected power changes to When the power of the three branches is calculated according to the "power proportional method", it will be changed to , , , and so on.

[0047] So the calculated load Under the node contribution condition, the new power flow distribution is as follows: Figure 3 shown.

[0048] If the load The adjustable capacity is to reduce the load value by 50%. The response to each branch - The node contributions are 0.2, 0, 0.2, 0, 0, 0.05, and 0, respectively, and the response to the upper feeder , The node contributions of are 0.133 and 0.025 respectively. Similarly, assuming that the load , The adjustable capacity is 80% of the load value, load The adjustable capacity is 100% load value, then the load can be calculated - The contribution of the response to the grid node As shown in Table 1.

[0049] Table 1 Contribution of each load response capability to the grid node

[0050] If the feeder Access superior Station master (110kV / 10kV) Low voltage side leads feeder, the load The response to the upper main transformer The node contribution of

[0051] In the formula, is the original power of the upper main transformer TA, that is The sum of the original powers of the feeder lines.

[0052] Since the flexible resources aggregated by virtual power plants are dispersed, if a virtual power plant aggregator There are - Flexible resources, each belonging to a feeder under the main transformer , then the virtual power plant The node contribution of .

[0053] Specifically, this embodiment provides a preferred implementation method, the incentive response willingness of a flexible resource The calculation formula is , where Indicates the number of times the flexible resource participates in the response. Indicates that the flexible resource The actual response power, represents the annual maximum load of the flexible resource, represents the annual minimum load of the flexible resource, Indicates The incentive price for the second response. It is understandable that when Under the same premise, the greater the proportion of actual adjustment of flexible resources, the higher the incentive response willingness. Similarly, under the same actual adjustment proportion of different flexible resources, the actual The larger it is, the less willing the flexible resources are to respond.

[0054] Specifically, this embodiment provides a preferred implementation method, assuming that a certain flexible resource is The participating response power is The target response value is ,when The flexible resource is considered qualified in this response. The expression of the response result when participating in the response is ; The response qualification rate of a certain flexible resource The calculation formula is , where The total number of responses that the flexible resource has participated in. The number of times the flexible resource responds with a qualified result. is the number of times the flexible resource response result is unqualified. It can be understood that in the previous response process, the flexible resource The response result and the received target response value When the deviation does not exceed ±10%, the response result of the flexible resource is deemed qualified.

[0055] Specifically, this embodiment provides a preferred implementation method, assuming that a certain flexible resource is The time from the beginning of the response to the change to the received 90% target response value during the first response , which is 0.9 The time used is , the flexible resource is The expression of the response rate when the participant responds is: , then the overall response rate of the flexible resource is It is understood that when the response is qualified, the response rate is calculated , when the response does not reach 90% of the target response value When , the slowest response is taken as , the overall response rate is the average of all previous response rates.

[0056] Specifically, this embodiment provides a preferred implementation. The response preparation time The calculation formula is ; The response duration The calculation formula is , where For flexible resources Sub-response target response value Duration or The duration of the batch continuous target value issuance, in minutes. It is understandable that for different flexible resources, the response delay or response preparation time is different. For example, for fast response resources such as second-level interruptible loads, distributed photovoltaics, charging piles, energy storage, etc., their response preparation time is the response delay, which is usually in seconds; for flexible response resources such as base stations, standby loads, air-conditioning loads, etc., their response preparation time is usually in minutes; for industrial loads in different industries, depending on the level of production line automation and site conditions, their response preparation time is usually in hours or days before the day.

[0057] Specifically, this embodiment provides a preferred implementation method, in step S3, the corresponding flexible resources are called to execute corresponding interactive responses in combination with the constructed grid perspective and the user portrait, including: based on the contribution of the grid node By ranking various flexible resources, specific resources can be used first to carry out local grid congestion management, or specific resources can be eliminated when carrying out full network regulation to avoid the aggravation of distribution network overload or power flow reverse transmission problems; based on incentive response willingness Adjust the incentive price by a certain amount; based on the response qualification rate Adjust the size of backup resources; based on response rate , Response preparation time and response duration , conduct real-time evaluation of flexible resources and provide auxiliary decision-making basis for real-time response or invitation response.

[0058] It can be understood that the embodiment uses six dimensions (contribution to the grid node , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration ) can assist virtual power plant management agencies in carrying out refined management of virtual power plants and their internal flexible resources. The contribution of response capability to grid nodes C reflects the support of the flexible resource response process to specific upper-level feeders / main transformers, which can support management agencies in making more refined clearing decisions; the response qualification rate It reflects the response success rate of flexible resources and can support the decision-making of the management agency on the number of invitations. If the qualification rate of the flexible resource cluster participating in a certain response is low, the management agency can reserve more spare resources in advance to cover the total amount of the response, thus helping the power grid to operate safely and stably. It reflects the enthusiasm of flexible resources for interactive response, and can support management agencies to make more reasonable interactive response pricing decisions; response rate , Response preparation time , Response Duration As a responsive external characteristic of flexible resources, combined with the actual operation status of the power grid, it can support the management agency to more accurately formulate real-time, intraday, and day-ahead interactive response plans, reduce the scope of impact, and help the power grid reduce costs and increase efficiency. When the power grid generates demand response or interactive adjustment needs for auxiliary services, according to the "power grid perspective" of the power grid operation status and the topology of the flexible resource grid connection point, the flexible resources that potentially affect the safe and stable operation of the distribution network can be screened out and not involved in the call in this interaction. For example, when the full-network peak shaving service is initiated, the peak shaving resources under the reverse overloaded main transformer area are prohibited from participating in the interactive response; when the full-network valley filling service is initiated, the valley filling resources under the heavy / overloaded main transformer area are prohibited from participating in the interactive response. When the power grid carries out congestion management or initiates local demand response at the municipal level, irrelevant flexible resources can be screened out based on the "power grid perspective", and response invitations can be sent to the flexible resources within the virtual power plant in a targeted manner in the congested area or territory, and priority will be given to the flexible resources that contribute to the congested main transformer / feeder node. High flexible resources participate in the response, the response scope is minimized as much as possible, and flexible resources in other areas of the virtual power plant are prohibited from participating.

[0059] Embodiment 2: like Figure 4 As shown, this embodiment provides an electronic device, which may include: at least one processor, at least one network interface, a user interface, a memory, and at least one communication bus.

[0060] The communication bus can be used to realize the connection and communication among the above-mentioned components.

[0061] The user interface may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0062] The network interface may include but is not limited to a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0063] Among them, the processor may include one or more processing cores. The processor uses various interfaces and lines to connect the various parts of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory. Optionally, the processor can be implemented in at least one hardware form of DSP, FPGA, and PLA. The processor can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display; the modem is used to handle wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a chip.

[0064] Among them, the memory may include RAM or ROM. Optionally, the memory includes a non-transitory computer-readable medium. The memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory may also be at least one storage device located away from the aforementioned processor. The memory as a computer storage medium may include an operating system, a network communication module, a user interface module, and a calling application. The processor may be used to call the calling application stored in the memory and execute the steps of calling the flexible resources of the virtual power plant mentioned in the above-mentioned embodiment.

[0065] Embodiment three: This embodiment provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is executed on a computer or a processor, the computer or the processor executes the above-mentioned Figure 1 One or more steps in the illustrated embodiment. If the components of the electronic device described above are implemented in the form of software functional units and sold or used as independent products, they can be stored in the computer-readable storage medium.

[0066] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of this specification is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state drive (SSD)).

[0067] A person of ordinary skill in the art can understand that all or part of the processes in the method of the first embodiment can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes. In the absence of conflict, the technical features in this embodiment and the implementation scheme can be combined arbitrarily.

[0068] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0069] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0070] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of the implementation scheme of the present disclosure. The present invention is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for flexible resource calling of a virtual power plant based on a power grid perspective, characterized in that: Includes steps: S1. Obtain the real-time measurement data and grid connection point topology data of each flexible resource of each virtual power plant, and establish a grid perspective based on this; S2. Obtain the response capability and historical response data of each flexible resource of each virtual power plant, and calculate the contribution to the grid node based on this. , Incentive response willingness , Response qualification rate , Response Rate , Response preparation time and response duration , and build user profiles of each flexible resource in each virtual power plant; S3. Obtain the response demand or interactive adjustment demand of auxiliary services generated by the power grid, and call the corresponding flexible resources in combination with the constructed power grid perspective and the user portrait to perform corresponding interactive responses to meet the overall and local real-time needs of the power grid, thereby completing the call of flexible resources of the virtual power plant.

2. A method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 1, characterized in that: The calculation contributes to the power grid node Includes steps: Get a load Its branch line And upper feeder The original trends are and ; Based on the load node tracking method, combined with the power proportional method, a load is calculated. Its branch line and upper feeder The new trends are and ; Get a load Adjustable Capability , Annual maximum load and annual minimum load ; based on , and , calculate a load Adjustable capacity ratio ; Based on the , and , calculate a load For its branch line And upper feeder The node contribution of and ; Based on the load The node contribution is calculated by combining the power proportional method to calculate the contribution of the other loads of the same virtual power plant to its branch line. Node contribution, and the contribution to the upper feeder Node contribution of The contribution of each load of the virtual power plant to the main transformer is calculated based on the contribution of each load of the virtual power plant to the grid node. Node contribution .

3. The method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 2 is characterized in that: Assume that the total number of flexible resources of the virtual power plant is , then a load in the virtual power plant is recorded as , and ,load The adjustable capacity accounts for ,load For a branch line The node contribution of , for the upper feeder The node contribution of , main transformer The total number of feeders is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is ; Said The calculation formula is .

4. The method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 2 is characterized in that: Incentive responsiveness of a flexible resource The calculation formula is ; In the formula, Indicates the number of times the flexible resource participates in the response. Indicates that the flexible resource The actual response power, represents the annual maximum load of the flexible resource, represents the annual minimum load of the flexible resource, Indicates The incentive price for the response.

5. The method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 4 is characterized in that: Suppose a flexible resource The response power when participating in the response is The target response value is ,when The flexible resource is considered qualified in this response. The expression of the response result when participating in the response is ; The response qualification rate of a certain flexible resource The calculation formula is , where The total number of responses that the flexible resource has participated in. The number of times the flexible resource responds with a qualified result. The number of times the flexible resource responded with an unqualified result.

6. A method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 5, characterized in that: Suppose a flexible resource The time from the beginning of the response to the change to the received 90% target response value during the first response , which is 0.9 The time used is , the flexible resource is The expression of the response rate when the participant responds is: , then the overall response rate of the flexible resource is .

7. The method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 6 is characterized by: The response preparation time The calculation formula is ; The response duration The calculation formula is , where For flexible resources Sub-response target response value Duration or The duration of the continuous batch target value issuance, in minutes.

8. A method for calling flexible resources of a virtual power plant based on a power grid perspective according to claim 7, characterized in that: Step S3 combines the constructed grid perspective and the user portrait to call corresponding flexible resources to execute corresponding interactive responses, including: Based on the contribution of grid nodes Sort the flexible resources and call them to participate in the response according to the sorting results; Incentive-based response willingness Adjust the magnitude of the incentive price; Based on response qualification rate Adjust the size of backup resources; Based on response rate , Response preparation time and response duration , real-time assessment of flexible resources.

9. A computer device, comprising a memory, a processor and a computer program, characterized in that: When the computer program is executed by a processor, the method for calling flexible resources of a virtual power plant as described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for calling flexible resources of a virtual power plant as described in any one of claims 1 to 8 is implemented.

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