Virtual Power Plant Flexible Resource Invocation Method, Device and Medium from the Perspective of Power Grid

Abstract

The present invention belongs to the technical field of virtual power plant resource scheduling, and discloses a method, device and medium for flexibly invoking resources of a virtual power plant from the perspective of the power grid, so as to solve the problems that the contribution of flexible resources to the change of the distribution network state is ignored, the performance evaluation is inaccurate, the response result is not in place, and the response willingness is not clear. The method of the present invention includes: obtaining real-time measurement data and grid connection point topology structure data of each flexible resource of each virtual power plant and establishing a perspective of the power grid; obtaining the response capabilities and historical response data of each flexible resource of each virtual power plant to calculate the contribution degree to power grid nodes, incentive response willingness, response qualification rate, response rate, response preparation time and response duration to construct a user profile; obtaining the response demand generated by the power grid or the interactive regulation demand for auxiliary services, and combining the constructed perspective of the power grid and the user profile to invoke flexible resources to execute interactive responses to meet the overall network and local real-time demands of the power grid, thereby completing the invocation of flexible resources.

Description

Technical Field

[0001] The present invention belongs to the technical field of virtual power plant resource scheduling, and particularly relates to a method, device and medium for flexibly invoking resources of a virtual power plant from the perspective of the power grid. Background Art

[0002] Under the background of the new power system, the structure of the load side has undergone significant changes, transforming from the traditional source-following-load mode to a new stage of source-load interaction. In this process, a large number of flexible loads have realized the transformation from simple consumers to "prosumers", significantly enhancing the flexible regulation ability of the load side. However, when current market organizers implement power auxiliary services such as demand response and peak shaving and valley filling, they often only focus on the regulation of the overall power demand of the power grid, but ignore the specific impact on the operation state of the distribution network during the response process of distributed resources. Specifically, during the peak shaving operation of the whole network, the flexible resources participating in the virtual power plant need to respond by reducing their own load or increasing power generation. However, if the upstream feeder or main transformer to which these resources are connected is in a state of reverse power flow or even "reverse overload" due to the large-scale power generation of renewable energy, then although the load reduction adjustment of these flexible resources meets the overall demand of the whole network, it may exacerbate the operation burden of the local distribution network. On the contrary, during the valley filling operation of the whole network, although the adjustment of another flexible resource of the virtual power plant meets the requirements of the whole network, it may also increase the operation pressure of the local overloaded distribution network.

[0003] In summary, when virtual power plants participate in demand response or auxiliary services, they generally do not consider the impact of the flexible resource response process on their upstream main transformers, feeders and branches. More critically, in the process of market organization in most regions, they often only focus on the total amount of response, while ignoring the change of the distribution network operation state during the response process of distributed resources. This indicates that the current invocation of flexible resources of virtual power plants is still in its initial stage, and there are also problems such as inaccurate evaluation of flexible resource performance, inadequate response results, and unclear response willingness. Summary of the Invention

[0004] Based on the above-mentioned disadvantages and deficiencies existing in the prior art, one of the objectives of the present invention is to at least solve one or more of the above-mentioned problems existing in the prior art. In other words, one of the objectives of the present invention is to provide a method, device and medium for flexibly invoking resources of a virtual power plant from the perspective of the power grid that meet one or more of the foregoing requirements, so as to ensure the accuracy, effectiveness and reliability of resource invocation, while optimizing the market organization process, not only paying attention to the total amount of response, but also deeply considering the change of the distribution network state during the response process of distributed resources, thereby improving the utilization efficiency of flexible resources of virtual power plants, clarifying the response willingness, accurately evaluating the resource performance, and ensuring the adequacy of response results.

[0005] In order to achieve the above-mentioned invention objectives, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for flexibly invoking resources of a virtual power plant from the perspective of the power grid, including the steps of: S1, obtaining real-time measurement data and grid connection point topology data of various flexible resources of each virtual power plant, and establishing a power grid perspective based on this; S2, obtaining the response capabilities and historical response data of various flexible resources of each virtual power plant, and calculating the contribution degree to the power grid nodes , stimulating the willingness to respond , response qualification rate , response rate , response preparation time and response duration , and constructing user portraits of various flexible resources of each virtual power plant; S3, obtaining response requirements generated by the power grid or interactive regulation requirements for auxiliary services, and invoking corresponding flexible resources to perform corresponding interactive responses in combination with the constructed power grid perspective and the user portraits to meet the overall network and local real-time requirements of the power grid, thereby completing the invocation of flexible resources of the virtual power plant.

[0007] As a preferred solution, the calculation of the contribution degree to the power grid nodes includes the steps of:

[0008] Obtain the original power flows of a certain load its branch line and the upstream feeder , which are respectively and ;

[0009] Based on the load node tracking method and combined with the power equal proportion method, calculate the new power flows of a certain load its branch line and the upstream feeder , which are respectively and ;

[0010] Obtain the adjustable capacity of a certain load , annual maximum load and annual minimum load ;

[0011] Based on , and , calculate the proportion of adjustable capacity of a certain load ;

[0012] Based on the said , and , calculate the contribution of a certain load to its branch line and the node contribution degree of the upper feeder to obtain respectively and ;

[0013] Based on the node contribution degree of a certain load , and combining with the equal - proportion power method, calculate the node contribution degrees of the remaining loads in the same virtual power plant to the branch line Li where they are located and to the upper feeder LKm;

[0014] Based on the node contribution degrees of the loads in the virtual power plant to the grid nodes, calculate the node contribution degree of the flexible resources accessed by the virtual power plant to the main transformer . .

[0015] As a preferred solution, let the total number of flexible resources in the virtual power plant be , then a certain load in the virtual power plant is denoted as , and , the adjustable capacity ratio of load is , the node contribution degree of load to a certain branch line where it is located is , the node contribution degree to the upper feeder is , the total number of feeders of the main transformer is ;

[0016] The calculation formula of the said is ;

[0017] The calculation formula of the said is ;

[0018] The calculation formula of the said is ;

[0019] The calculation formula of the said is .

[0020] As a preferred solution, the calculation formula of the incentive response willingness of a certain flexible resource is , where in the formula, represents the number of times the flexible resource participates in the response, represents the actual response power of the flexible resource at the th time, represents the annual maximum load of the flexible resource, Indicates the annual minimum load of the flexible resource, Indicates the incentive price for the

[0021] As a preferred solution, assume that a certain flexible resource has a response power of when participating in the th response, and the target response value is . When , it is considered that the response result of the flexible resource for this response is qualified. Then the expression for the response result of the flexible resource when participating in the th response is ;

[0022] The response qualification rate of a certain flexible resource is calculated as , where is the total number of times the flexible resource has participated in responses, is the number of times the response result of the flexible resource is qualified, is the number of times the response result of the flexible resource is unqualified.

[0023] As a preferred solution, assume that a certain flexible resource takes time from the start of the response to changing to 90% of the received target response value , that is, 0.9 when participating in the th response. The expression for the response rate of the flexible resource when participating in the th response is , and the overall response rate of the flexible resource is .

[0024] As a preferred solution,

[0025] The calculation formula for the response preparation time is ;

[0026] The calculation formula for the response duration is , where is the duration of the th response target response value or the duration of consecutive target value issuance for the th batch, in minutes.

[0027] As a preferred solution, step S3's combining the constructed grid perspective and the user portrait to call the corresponding flexible resources to perform the corresponding interactive response includes:

[0028] Based on the contribution degree to the power grid nodes Sort each flexible resource and call each flexible resource to participate in the response according to the sorting result;

[0029] Based on the incentive response willingness Adjust the amplitude of the incentive price;

[0030] Based on the response qualification rate Adjust the scale of the reserve resources;

[0031] Based on the response rate and the response preparation time and the response duration to conduct real-time evaluation of the flexible resources.

[0032] In a second aspect, the present invention provides an electronic device, where the computer device includes a memory, a processor, and a computer program, and when the computer program is executed by the processor, it implements the method for calling flexible resources of a virtual power plant as described in the first aspect.

[0033] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by the processor, it implements the method for calling flexible resources of a virtual power plant as described in the first aspect.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. From the perspective of the constructed power grid, during the process of the virtual power plant management agency organizing the peak shaving and valley filling services for the whole network, it can effectively check whether the regulation process of each virtual power plant exacerbates the phenomenon of local overload or reverse power flow in the distribution network, and has the ability to manage local congestion in the distribution network.

[0036] 2. Conduct precise and clear evaluation of the flexible resources of the virtual power plant from six dimensions (the contribution degree to the power grid nodes , the incentive response willingness , the response qualification rate , the response rate , the response preparation time and the response duration ), ensuring that the service power grid can truly achieve "observable, adjustable, and controllable" for flexible resources.

[0037] 3. By improving the effective management and application level of the power grid for the virtual power plant, the safe and stable operation ability of the power grid is further enhanced, the operation cost is 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 cost reduction and efficiency increase.

[0038] 4. It has universality and general applicability and can be widely applied and promoted.

[0039] Further or more detailed beneficial effects will be described in combination with specific embodiments in the specific implementation manners. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a schematic flowchart of the method for flexibly invoking resources of the virtual power plant according to the embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of the original power flow distribution according to the embodiment of the present invention.

[0043] Figure 3 It is a schematic diagram of the new power flow distribution according to the embodiment of the present invention.

[0044] Figure 4 It is a structural diagram of the electronic device provided by the embodiment of the present invention.

[0045] Reference Numerals in the Drawings:

[0046] 400, Electronic device;

[0047] 401, Processor; 402, Communication bus; 403, User interface; 404, Network interface; 405, Memory. SPECIFIC IMPLEMENTATION MANNERS

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention.

[0049] In the following introduction, multiple embodiments of the present invention are provided. Different embodiments can be replaced or combined. Therefore, the present invention can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, 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 all other possible combinations of A, B, C, and D, although such an embodiment may not be explicitly described in the following content.

[0050] 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 disclosure. Various processes or components may be appropriately omitted, substituted, or added to each example. For example, the methods described may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with respect to some examples may be combined into other examples.

[0051] To facilitate a better understanding of the embodiments of the present invention, before explaining the specific embodiments of the present invention in detail, the application scenarios thereof will be described first.

[0052] The method for invoking flexible resources of a virtual power plant described in the embodiments of this specification is applied to various power supply and demand management processes. In these scenarios, the application of the method for invoking flexible resources of the virtual power plant aims to optimize the allocation and scheduling of power resources, thereby improving energy utilization efficiency, enhancing the stability and response speed of the power grid, enabling the power system to better adapt to the volatility of renewable energy, and meeting the power demands of users at different times and under different conditions, so as to provide a high-quality user experience and reliable performance.

[0053] The following briefly explains the virtual power plant, flexible resources, contribution degree to grid nodes , incentive response willingness , response qualification rate , response rate , response preparation time and response duration in multiple embodiments of this specification:

[0054] A virtual power plant, through advanced information communication and monitoring control technologies, realizes the aggregation and coordinated optimization of distributed energy sources such as distributed power generation units, energy storage systems, controllable loads, and electric vehicles, and participates in the power grid operation as a special power plant for power coordination management of the power market. It does not actually generate electricity, but integrates various distributed energy resources and simulates a traditional power plant to provide power services to the system.

[0055] Flexible resources are resources in a virtual power plant that can quickly adjust their output or consumption according to actual power demands or market price signals. These resources include but are not limited to distributed generation units (such as solar energy, wind energy), energy storage systems, adjustable loads (such as industrial electricity, commercial electricity), electric vehicle charging stations, etc.

[0056] Contribution degree to grid nodes refers to the contribution degree of the adjustable capabilities of flexible resources at each node (or region) in the power grid to the overall stability, economy, or security of the power grid.

[0057] Incentive response willingness In the electricity market, it refers to the degree of willingness of resource owners or operators to participate in the dispatching of virtual power plants and respond to the adjustment of grid demand (such as peak shaving and valley filling, frequency regulation, etc.). This is usually affected by factors such as economic incentives (such as subsidies, electricity price differences), policy requirements, or social responsibilities.

[0058] Response qualification rate It refers to the ratio of the actual response resource quantity or capacity of flexible resources to the required quantity or capacity after the dispatching instruction of the virtual power plant is issued. A high response qualification rate means that resources can accurately and reliably adjust according to the instruction, which helps to improve the stability and efficiency of the power grid.

[0059] Response rate It refers to the time required from the issuance of the dispatching instruction by the virtual power plant to the start of the actual response of flexible resources (such as adjusting the output power). A faster response rate helps the power grid quickly respond to load fluctuations or fault conditions and improves the dynamic response ability of the power grid.

[0060] Response preparation time It is used to reflect the timeliness of flexible resources and is the entire preparation process time (such as adjusting the equipment status, starting the standby power supply, etc.) required for flexible resources from receiving the response target until starting the response. This at least includes processes such as internal information transfer, equipment inspection, and status adjustment within the resources.

[0061] Response duration It refers to the continuous duration for which flexible resources can maintain the response target value or the continuous response duration to continuous response target values, and is used to reflect the sustainability of flexible resource responses. The length of the response duration directly affects the support effect of resources on the power grid and their own operating costs.

[0062] Embodiment 1:

[0063] As Figure 1 shown, this embodiment provides a method for calling flexible resources of a virtual power plant from the perspective of the power grid, including the steps: S1, obtaining the real-time measurement data and grid connection point topology structure data of each flexible resource of each virtual power plant, and based on this, establishing a power grid perspective; S2, obtaining the response capabilities and historical response data of each flexible resource of each virtual power plant, and based on this, calculating the contribution degree to the power grid nodes Incentive response willingness Response qualification rate Response rate Response preparation time And response duration , and construct user portraits of various flexible resources of each virtual power plant; S3. Obtain the response requirements generated by the power grid or the interactive regulation requirements for auxiliary services, and call the corresponding flexible resources in combination with the constructed power grid perspective and the user portraits to execute corresponding interactive responses to meet the overall network and local real-time requirements of the power grid, thereby completing the call of the flexible resources of the virtual power plant.

[0064] It can be understood that in this embodiment, by interconnecting with the dispatching automation system, the distribution automation system, the marketing system, and the power consumption information acquisition system, the power grid perspective of the virtual power plant management center is constructed. This ensures the full-link model matching and data integration from the substation to the line, transformer, and down to the user side. The relevant measurement data and electrical topology can be kept in real-time synchronization with the virtual power plant management center. During the process of organizing and managing virtual power plant operators, the management center can accurately master the real-time measurement data of the flexible resources inside each virtual power plant, the topological structure of the connection points, and can trace back to the connected branch lines, feeders, main transformers, etc. Therefore, the virtual power plant management center comprehensively masters the dynamic and static information of all registered flexible resources from the power grid perspective, providing a good foundation for the virtual power plant management center to further optimize resource allocation and improve energy utilization efficiency.

[0065] It should be particularly noted that there is currently much research on the evaluation of the "adjustable capacity" (the response capacity of the flexible resources). Usually, the flexible resources are divided into three categories: interruptible, transferable, and shiftable, and their flexible adjustment capabilities are quantified. This is the most basic characteristic analysis of flexible resources, and this embodiment will not elaborate.

[0066] Specifically, this embodiment provides a preferred implementation manner, and the calculation of the contribution degree to the power grid node includes the steps:

[0067] Obtain a certain load its branch line and the upstream feeder of the original power flow, which are respectively and ;

[0068] Based on the load node tracking method and combined with the power equal ratio method, calculate the new power flow of a certain load its branch line and the upstream feeder which are respectively and ;

[0069] Obtain the adjustable capacity of a certain load , the annual maximum load and the annual minimum load ;

[0070] Based on 、 and , calculate the proportion of the adjustable capacity of a certain load ; ;

[0071] Based on the above-mentioned 、 and , calculate the node contribution degree of a certain load to its branch line and the upstream feeder to obtain and respectively;

[0072] Based on the node contribution degree of the above-mentioned certain load , and combined with the equal - proportion power method, calculate the node contribution degrees of the remaining loads in the same virtual power plant to their branch lines and the upstream feeder ;

[0073] Based on the node contribution degrees of the loads in the virtual power plant to the power grid nodes, calculate the node contribution degree of the virtual power plant to the main transformer ; .

[0074] Specifically, this embodiment provides a preferred implementation method. Let the total number of flexible resources of the virtual power plant be , then a certain load in the virtual power plant is denoted as , and , the proportion of the adjustable capacity of load is , the node contribution degree of load to its branch line is , the node contribution degree to the upstream feeder is , the total number of feeders of the main transformer is ;

[0075] The calculation formula of the above-mentioned is ;

[0076] The calculation formula of the above-mentioned is ;

[0077] The calculation formula of the above-mentioned is ;

[0078] The calculation formula of the above-mentioned The calculation formula is .

[0079] More specifically, in this embodiment, the load node power flow tracking method is adopted. Through the power flow distribution at the current moment, the load occupancy rate of the flexible resources (such as flexible loads) at a certain node on each branch line or the upper-level feeder is deduced in reverse. Based on the known adjustable capacity of the flexible resources, the node contribution degree of its response ability to each branch line or the upper-level feeder can be calculated, which is used to reflect the support degree of the flexible resource response process to the safe and stable operation of the distribution network. The following takes Figures 2 - 3 as an example for detailed description:

[0080] Figure 2 Figure 1 shows the topology structure and power flow distribution of the distribution network, as well as the detailed information of the main transformer, feeder, and load nodes. For the sake of simplifying the calculation, the network line loss is ignored.

[0081] When calculating the node contribution degree of the flexible resource response ability to the power grid nodes using the load node tracking method, the current power flow needs to be "reversed", that is, all the input nodes of the feeders in the topology ( , ) are equivalent to load nodes with the same power as them, all the load nodes ( - ) are equivalent to input nodes with the same power as them, and the power flow direction of the branch line ( - ) becomes the opposite of the original direction. In addition, when calculating the node contribution degree of the load , the powers of other load nodes need to be set to zero, and based on the original power flow distribution state, the "power equal proportion method" is used to determine the new power flow distribution under the condition of "calculating the node contribution degree of the load ", so as to obtain that the responses of the load to the branch line and to the upper-level feeder are respectively and . In the above formula, , are respectively the responses of the load to the node contribution degrees of the branch line and the upper-level feeder , , are respectively the new power flows of the branch line and the upper-level feeder when calculating the node contribution degree of the load , , are respectively the original power flows of the branch line and the upper-level feeder , is the load Quantified adjustable capacity ratio, i.e., the load The adjustable part in / (annual maximum load - annual minimum load).

[0082] It can be understood that the power equal - ratio method means that for a certain topological node, when the power injected into the node is , and the powers of the three branches flowing out of the node are respectively 、 、 , there is ; if the injected power changes to , according to the calculation of the "power equal - ratio method", the powers of the three branches will change to 、 、 , and so on.

[0083] Therefore, the calculated load Under the condition of the node contribution degree, the new power flow distribution is as Figure 3 shown.

[0084] If the load has an adjustable capacity of 50% of the load value that can be reduced, after calculation, the responses of the load to each branch - have node contribution degrees of 0.2, 0, 0.2, 0, 0, 0.05, 0 respectively. The responses to the upstream feeders 、 have node contribution degrees of 0.133 and 0.025 respectively. Similarly, assuming that the adjustable capacities of the loads 、 are 80% of the load value and the adjustable capacity of the load is 100% of the load value, then the responses of the load - to the grid node contribution degrees are shown in Table 1.

[0085] Table 1 Node contribution degrees of each load response ability to the power grid

[0086]

[0087] If the upstream substation main transformer to which the feeder is connected (110 kV / 10 kV) has feeders led out from the low - voltage side, then the response of the load to the upstream main transformer has a node contribution degree of

[0088]

[0089] In the formula, is the original power of the upper-level main transformer TA, that is, the sum of the original powers of

[0090] Since the flexible resources aggregated by the virtual power plant are dispersed, if a virtual power plant aggregator has in the main transformer - flexible resources, each belonging to a certain feeder under the main transformer , then the node contribution degree of the virtual power plant to the main transformer is

[0091] .

[0092] Specifically, this embodiment provides a preferred implementation manner. The formula for the incentive response willingness of a certain flexible resource is , in the formula, represents the number of times the flexible resource participates in the response, represents the actual response power of the flexible resource at the th time, represents the annual maximum load of the flexible resource, represents the annual minimum load of the flexible resource, represents the incentive price for the th response. It can be understood that, that is, when is the same, the flexible resource with a larger actual adjustment ratio has a higher incentive response willingness. Similarly, when different flexible resources have the same actual adjustment ratio, the larger the actual , the lower the willingness of the flexible resource to respond.

[0093] Specifically, this embodiment provides a preferred implementation manner. Suppose the response power of a certain flexible resource at the th time of participating in the response is , and the target response value is . When , it is considered that the response result of the flexible resource at this time is qualified. Then the expression of the response result of the flexible resource at the th time of participating in the response is ;

[0094] The response qualification rate of a certain flexible resource is calculated by the formula , in the formula, is the total number of times the flexible resource participates in the response, is the number of times the response result of the flexible resource is qualified, The number of times the flexible resource response result is unqualified. It can be understood that during each response process, for the flexible resource, when the response result of the th response and the received target response value have a deviation not exceeding ±10%, the response result of the flexible resource for this time is determined to be qualified.

[0095] Specifically, this embodiment provides a preferred implementation manner. Suppose a certain flexible resource, when participating in the response for the th time, changes from the start of the response to 90% of the received target response value , that is, 0.9 The time used is . When the flexible resource participates in the response for the th time, the expression of the response rate is , then the overall response rate of the flexible resource is . It can be understood that when the response is qualified, the response rate is calculated. When the response fails to reach 90% of the target response value , the slowest response among all previous responses is recorded as , and the overall response rate is the average value of the response rates of all previous responses.

[0096] Specifically, this embodiment provides a preferred implementation manner.

[0097] The calculation formula for the response preparation time is ;

[0098] The calculation formula for the response duration is , where in the formula, is the duration of the th response target response value or the duration of continuous target value issuance for the th batch, with the unit of minute. It can be understood that for different flexible resources, their response delays or response preparation times are different. For example, for fast response resources such as second-level interruptible loads, distributed photovoltaics, charging piles, and energy storage, their response preparation times are the same as the response delays, usually at the second level; for flexible response resources such as base stations, standby loads, and air-conditioning loads, their response preparation times are usually at the minute level; for industrial loads in different industries, according to the different levels of production line automation and on-site conditions, their response preparation times are usually at the hour level or day-ahead level.

[0099] Specifically, this embodiment provides a preferred implementation manner. Step S3 of invoking the corresponding flexible resource to perform the corresponding interactive response by combining the constructed power grid perspective and the user portrait includes: Based on the contribution degree of the power grid node Sort each flexible resource, and specific resources can be preferentially called to carry out local power grid congestion management. Specific resources can also be excluded during the whole network regulation to avoid exacerbating the problems of distribution network overload or reverse power flow. Based on the willingness of incentive response Adjust the amplitude of the incentive price; based on the response qualification rate Adjust the scale of the reserve resources; based on the response rate and 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.

[0100] It can be understood that the embodiment uses a flexible resource user profile in six dimensions (contribution degree to power grid nodes , willingness of incentive response , response qualification rate , response rate , response preparation time and response duration ) to assist the virtual power plant management agency to carry out refined management of the virtual power plant and its internal flexible resources. The contribution degree C of the response ability to the power grid node reflects the support strength of the flexible resource response process to a specific upper feeder / main transformer, and can support the management agency to make a more refined clearing decision; the response qualification rate reflects the response success rate of flexible resources, and can support the management agency's decision 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 this response, helping the power grid to operate safely and stably. The willingness of incentive response reflects the enthusiasm of flexible resources for interactive response, and can support the management agency to make a more reasonable interactive response pricing decision; the response rate , response preparation time , response duration As a flexible resource, the response external characteristic can support the management agency to more accurately formulate real-time, intraday, and day-ahead interactive response plans by combining the actual operating state of the power grid, reduce the impact scope, and help the power grid reduce costs and increase efficiency. When the power grid generates demand response or auxiliary service interactive regulation requirements, according to the "power grid perspective" of the power grid operating state and the flexible resource connection point topology, flexible resources that may potentially affect the safe and stable operation of the distribution network can be screened out and not participate in the call during this interaction. For example, when the whole network peak shaving service is initiated, the peak shaving resources under the reverse heavy-loaded main transformer substation area are prohibited from participating in the interactive response; when the whole network valley filling service is initiated, the valley filling resources under the heavy / overloaded main transformer substation area are prohibited from participating in the interactive response. When the power grid conducts congestion management or the demand response of the prefecture-level jurisdiction is initiated, based on the "power grid perspective", irrelevant flexible resources can be screened out, and response invitations are sent to the flexible resources inside the virtual power plant in the congestion area or jurisdiction in a targeted manner, and flexible resources with high contribution degrees to the congested main transformer / feeder nodes are preferentially invited to participate in the response, and flexible resources in other areas of the virtual power plant are prohibited from participating as much as possible to narrow the response scope. High flexible resources participate in the response, and the response scope is reduced as much as possible, and flexible resources in other areas of the virtual power plant are prohibited from participating.

[0101] Embodiment 2:

[0102] As Figure 4 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.

[0103] Among them, the communication bus can be used to realize the connection and communication of the above-mentioned various components.

[0104] Among them, the user interface may include buttons, and the optional user interface may further include a standard wired interface and a wireless interface.

[0105] Among them, the network interface may but is not limited to including a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0106] Among them, the processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts inside the entire electronic device, and by running or executing instructions, programs, code sets, or instruction sets stored in the memory, and calling the data stored in the memory, it executes various functions of the electronic device and processes data. Optionally, the processor may be implemented in at least one hardware form of DSP, FPGA, or PLA. The processor may integrate one or several combinations of CPU, GPU, and modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for rendering and drawing the content required to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor and may be implemented separately through a single chip.

[0107] 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. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area can store the data involved in the above-mentioned method embodiments. Optionally, the memory may also be at least one storage device located far 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 program. The processor can be used to call the calling application program stored in the memory and execute the steps of the flexible resource call of the virtual power plant mentioned in the foregoing embodiments.

[0108] Embodiment 3:

[0109] This embodiment provides a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When it runs on a computer or a processor, it causes the computer or the processor to execute one or more of the steps in the above-mentioned Figure 1 illustrated embodiments. If each component module of the above electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in the computer-readable storage medium.

[0110] In the above embodiments, they can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using 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 processes or functions described in the embodiments of this specification are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. 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 one website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a Digital Versatile Disc (DVD)), or a semiconductor medium (for example, a Solid State Disk (SSD)), etc.

[0111] Those of ordinary skill in the art can understand that all or part of the processes in implementing the method in the above Embodiment 1 can be completed by instructing relevant hardware through a computer program. This program can be stored in a computer-readable storage medium. When this program is executed, it can include the processes of the embodiments of the above various methods. The foregoing storage media include: various media such as ROM, RAM, magnetic disks, or optical discs that can store program codes. Without conflict, the technical features in this embodiment and the implementation solutions can be combined arbitrarily.

[0112] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequences 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 essential to the present invention.

[0113] In the above embodiments, the descriptions of the various embodiments have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] The foregoing are only exemplary embodiments of the present disclosure, and thus cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the disclosure herein. The present invention is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for flexibly invoking flexible resources of a virtual power plant from the perspective of the power grid, characterized in that, Including the steps: S1. Obtain the real-time measurement data of each flexible resource of each virtual power plant and the topological structure data of the grid connection point, and establish a grid perspective based on this; S2. Obtain the response capabilities and historical response data of each flexible resource of each virtual power plant, and calculate the contribution degree to the power grid nodes based on this , incentive response willingness , response qualification rate , response rate , response preparation time and response duration , and construct user portraits of each flexible resource of each virtual power plant; Let the total number of flexible resources in the virtual power plant be ; then a certain load in the virtual power plant is denoted as , and , the adjustable capacity ratio of load is , the node contribution degree of load to a certain branch where it is located is , the node contribution degree to the upstream feeder is , the total number of feeders of the main transformer is ; The calculation formula is , where , and respectively represent the adjustable capacity of the load , the annual maximum load and the annual minimum load; The calculation formula is , where and respectively represent the new power flow and the original power flow of the load on a certain branch it is on; The calculation formula is , where and respectively represent the new power flow and the original power flow of the load and its upper-level feeder ; Calculating the contribution degree of each load based on the virtual power plant to the main transformer of the virtual power plant to the grid node of the node contribution degree ; The said The calculation formula is , where is the original power of the upper-level main transformer TA; S3. Obtain the response requirements or auxiliary service interaction regulation requirements generated by the grid, and call the corresponding flexible resources to execute the corresponding interactive response in combination with the constructed grid perspective and the user portrait to meet the overall network and local real-time requirements of the grid, thereby completing the call of the flexible resources of the virtual power plant; The calling of the corresponding flexible resources to execute the corresponding interactive response in combination with the constructed grid perspective and the user portrait includes: Based on the contribution degree to the power grid nodes Sort each flexible resource and call each flexible resource to participate in the response according to the sorting result; Based on the willingness to respond to incentives Adjust the amplitude of the incentive price; Based on the response pass rate Adjust the scale of backup resources; Based on the response rate , response preparation time and response duration , real-time evaluation of flexible resources is carried out.

2. The flexible resource invocation method of a virtual power plant based on the perspective of the power grid according to claim 1, wherein The calculation of the contribution degree to the power grid nodes comprises the steps of: Obtain a certain load The branch line where it is located And the upstream feeder The original power flows are respectively And ; Based on the load node tracking method and combined with the power equal ratio method, calculate a certain load of its branch line and the upstream feeder for the new power flow, which are respectively and ; Obtain a certain load Adjustable capacity , annual maximum load and annual minimum load ; Based on , and , calculate the adjustable capacity ratio of a certain load ; Based on the , and , calculate the node contribution degree of a certain load to its branch line and the upstream feeder respectively to obtain and ; Based on the node contribution degree of a certain load , and combined with the power equal proportion method, calculate the node contribution degrees of the remaining loads of the same virtual power plant to the branch line where they are located, and the node contribution degrees to the upstream feeder ; Calculate the contribution degree of each load based on the virtual power plant to the main transformer of the virtual power plant to the grid node of the node contribution degree .

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

5. The method for calling flexible resources of a virtual power plant based on a grid perspective according to claim 3, wherein: Let the response power of a certain flexible resource when it participates in the response for the th time be , the target response quantity value be , and when , it is considered that the response result of this flexible resource for this response is qualified. Then the expression for the response result of this flexible resource when it participates in the response for the th time is ; The response qualification rate of a certain flexible resource The calculation formula is , where is the total number of times the flexible resource has participated in responses, is the number of times the response result of the flexible resource is qualified, is the number of times the response result of the flexible resource is unqualified.

5. The method for calling flexible resources of a virtual power plant based on a grid perspective according to claim 4, wherein: Suppose that when a certain flexible resource participates in a response for the th time, the time taken from the start of the response to the change to 90% of the received target response value , that is, 0.9 is . The expression for the response rate of the flexible resource when it participates in the response for the th time is . Then the overall response rate of the flexible resource is .

6. The method for calling flexible resources of a virtual power plant based on a grid perspective according to claim 5, wherein: The response preparation time The calculation formula is ; The response duration is calculated by the formula , where is the duration of the th response target response quantity value of the flexible resource or the duration of the continuous target value issued in the th batch, with the unit of minute.

7. A computer device, the computer device comprising a memory, a processor, and a computer program, characterized in that, When the computer program is executed by a processor, it implements the method for calling flexible resources of a virtual power plant according to any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method for calling flexible resources of a virtual power plant according to any one of claims 1 to 6.

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