Virtual electric field adjustment capability determination method and device and computer equipment

Abstract

The invention relates to a virtual electric field adjustment capability determination method and device and computer equipment. The method comprises the following steps: acquiring device information of each energy device in a virtual power plant and link information of a communication link between the energy devices; determining a link weight corresponding to the communication link between the energy devices according to the link information of the communication link between the energy devices; and determining the adjustment capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices. According to the scheme, when the adjustment capability of the virtual power plant is determined, the space connection relation of the virtual power plant, namely the link information of the communication link between the energy devices, and the real-time change factors of the virtual power plant, namely the device information of the energy devices are considered, so that the adjustment capability of the virtual power plant is determined, and the adjustment capability of the virtual power plant is determined. And influence factors of more dimensions are considered, so that the accuracy of the determined adjustment capability of the virtual power plant is higher.

Description

Technical Field

[0001] The present application relates to the technical field of virtual power plants, and in particular to a method, device and computer equipment for determining the regulation capability of a virtual electric field. Background Art

[0002] A virtual power plant (VPP) is a system that aggregates distributed energy resources (such as solar energy, wind energy, energy storage systems, electric vehicle charging facilities, and controllable loads) through advanced information technology and software systems to form a unified, dispatchable "virtual" power plant. In order to flexibly respond to load changes and distributed energy fluctuations in virtual power plants, it is necessary to determine the regulation capacity of virtual power plants.

[0003] In traditional technology, historical data is usually relied on to estimate the regulation capacity of virtual power plants. This method cannot take into account the impact of multi-dimensional data of virtual power plants, making the determined regulation capacity of virtual power plants inaccurate. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device and computer equipment for determining the regulation capacity of a virtual electric field in response to the above technical problems, which can improve the accuracy of the regulation capacity of the determined virtual power plant.

[0005] In a first aspect, the present application provides a method for determining a virtual electric field regulation capability, comprising:

[0006] Acquire equipment information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identifier;

[0007] Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device;

[0008] The regulation capability of the virtual electric field is determined according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices.

[0009] In one embodiment, determining the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device includes:

[0010] Determine the centrality value of each energy device according to the link information of the communication link between each energy device; wherein the centrality value is used to measure the influence of the energy device on the virtual power plant;

[0011] According to the centrality value of each energy device and the link information of the communication link between each energy device, the link weight corresponding to the communication link between each energy device is determined.

[0012] In one embodiment, determining the centrality value of each energy device according to the link information of the communication link between each energy device includes:

[0013] According to the link information of the communication links between the energy devices, the betweenness centrality, closeness centrality and degree centrality of each energy device are determined; wherein the betweenness centrality of each energy device is used to measure the frequency of the energy device appearing in all the shortest communication links of the virtual power plant; the closeness centrality is used to measure the average distance between the energy device and all other energy devices; the degree centrality is used to measure the number of other energy devices connected to the energy device;

[0014] For each energy device, a weighted operation is performed on the betweenness centrality, closeness centrality and degree centrality of the energy device to obtain the centrality value of the energy device.

[0015] In one embodiment, determining the betweenness centrality of each energy device according to the link information of the communication link between each energy device includes:

[0016] Determine, according to link information of the communication links between the energy devices, a first number of the shortest communication links in the virtual power plant and a second number of the shortest communication links passing through the energy devices;

[0017] For each energy device, the betweenness centrality of the energy device is determined according to a first number of shortest communication links in the virtual power plant and a second number of shortest communication links passing through the energy device.

[0018] In one embodiment, determining the proximity centrality of each energy device according to the link information of the communication link between each energy device includes:

[0019] Determine the distance of the shortest communication link between each energy device and other energy devices according to the link information of the communication link between each energy device;

[0020] For each energy device, the proximity centrality of the energy device is determined according to the distance of the shortest communication link between the energy device and other energy devices and the number of energy devices in the virtual power plant.

[0021] In one embodiment, determining the degree centrality of each energy device according to the link information of the communication link between each energy device includes:

[0022] Determine the number of communication links corresponding to each energy device according to the link information of the communication links between the energy devices;

[0023] For each energy device, the degree centrality of the energy device is determined according to the number of communication links corresponding to the energy device and the number of energy devices in the virtual power plant.

[0024] In one embodiment, determining the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices includes:

[0025] For each energy device, the regulation capacity of the energy device is determined according to a first difference between the power generation capacity of the energy device and the load demand, and the sum of the products of the link weight of each target link and the second difference corresponding to the target link; wherein the target link is a communication link between the energy device and any energy device adjacent to the energy device, and the second difference corresponding to the target link is a difference between the power generation capacity and the load demand of any energy device adjacent to the energy device;

[0026] The sum of the regulation capabilities of each energy device is taken as the regulation capability of the virtual electric field.

[0027] In one embodiment, determining the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices includes:

[0028] According to the equipment information of each energy device and the link weight corresponding to the communication link between each energy device, a graph model of the virtual power plant is constructed; wherein the graph model includes each energy device, the attribute information of each energy device, the communication link between each energy device, and the attribute information of each communication link, the attribute information of each energy device is the equipment information of each energy device, and the attribute information of each communication link is the transmission loss and weight of the communication link;

[0029] Based on the graphical model of the virtual power plant, a regulation capability of the virtual electric field is determined.

[0030] In a second aspect, the present application further provides a device for determining virtual electric field regulation capability, comprising:

[0031] An acquisition module, used to acquire device information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the device information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identification;

[0032] A first determination module, configured to determine a link weight corresponding to a communication link between each energy device according to link information of the communication link between each energy device;

[0033] The second determination module is used to determine the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device.

[0034] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0035] Acquire equipment information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identifier;

[0036] Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device;

[0037] The regulation capability of the virtual electric field is determined according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0039] Acquire equipment information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identifier;

[0040] Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device;

[0041] The regulation capability of the virtual electric field is determined according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices.

[0042] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0043] Acquire equipment information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identifier;

[0044] Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device;

[0045] The regulation capability of the virtual electric field is determined according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices.

[0046] The above-mentioned method, device and computer equipment for determining the regulation capacity of a virtual electric field obtain the equipment information of each energy device in the virtual power plant and the link information of the communication link between each energy device; determine the link weight corresponding to the communication link between each energy device based on the link information of the communication link between each energy device; determine the regulation capacity of the virtual electric field based on the equipment information of each energy device and the link weight corresponding to the communication link between each energy device. The above-mentioned scheme, when determining the regulation capacity of the virtual power plant, takes into account the spatial connection relationship of the virtual power plant, that is, the link information of the communication link between each energy device, and takes into account the real-time change factors of the virtual power plant, that is, the equipment information of each energy device, so that when determining the regulation capacity of the virtual electric field, more dimensional influencing factors are taken into account, so that the determined regulation capacity of the virtual power plant is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 A schematic diagram of a flow chart of a method for determining virtual electric field regulation capability in one embodiment;

[0049] Figure 2 A schematic diagram of a process for determining link weights corresponding to communication links between energy devices in one embodiment;

[0050] Figure 3 A schematic diagram of a process for determining the centrality value of each energy device in one embodiment;

[0051] Figure 4 A schematic diagram of a process for determining the betweenness centrality of each energy device in one embodiment;

[0052] Figure 5 A schematic diagram of a process for determining the proximity center of each energy device in one embodiment;

[0053] Figure 6 A schematic diagram of a process for determining the degree centrality of each energy device in one embodiment;

[0054] Figure 7 A schematic diagram of a process for determining the regulation capacity of a virtual power plant in one embodiment;

[0055] Figure 8 A schematic diagram of a flow chart for determining the regulation capacity of a virtual power plant in another embodiment;

[0056] Fig. 9 It is a flowchart of a method for determining virtual electric field regulation capability in another embodiment;

[0057] Fig.10 It is a structural block diagram of a device for determining virtual electric field regulation capability in one embodiment;

[0058] Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] The method for determining the virtual electric field regulation capability provided in the embodiment of the present application can be applied to an application environment for determining the regulation capability of a virtual power plant. The method can be executed by a server or by a terminal with a certain computing power.

[0061] The server may be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, and projection devices. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, and the like. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, and the like.

[0062] In an exemplary embodiment, Figure 1As shown, a method for determining the virtual electric field regulation capability is provided, and the method is applied to a server as an example for explanation, including the following steps:

[0063] S101, obtaining device information of each energy device in the virtual power plant and link information of the communication links between the energy devices.

[0064] Exemplarily, the energy equipment in a virtual power plant includes but is not limited to solar photovoltaic panels, wind turbines, small hydropower stations, biomass power generation equipment and energy storage systems; among them, solar photovoltaic panels generate electricity through sunlight; wind turbines use wind power to rotate turbines to generate electricity; small hydropower stations use water flow energy to convert into electricity, but their scale is much smaller than traditional large hydropower stations; biomass power generation equipment uses biological materials (such as plants and animal waste) as fuel to generate electricity; energy storage systems, such as battery energy storage systems (BESS), can store excess electricity and release it when needed, helping to balance the difference between supply and demand.

[0065] The device information of each energy device includes at least the device location, power generation capacity and load demand. The link information includes at least two of the transmission loss, transmission distance and link identification. The link identification may include the link number and the energy device connected to each link. The device information of each energy device in the virtual power plant and the link information of the communication link between each energy device can be obtained in the management file or management device of the virtual power plant.

[0066] S102: Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device.

[0067] For example, the connection complexity of each energy device in the virtual power plant and the closeness of association with other energy devices can be determined based on the link information of the communication link between each energy device, and then the importance of each energy device to the virtual power plant can be determined based on the connection complexity and closeness information; and then the link weight corresponding to the communication link can be determined based on the importance of the energy devices at both ends of the communication link to the virtual power plant. The link weight of the communication link is used to reflect the importance of the communication link to the virtual power plant.

[0068] S103, determining the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device.

[0069] Among them, the regulation capability of the virtual power plant can be understood as the ability of the virtual power plant to integrate and optimize distributed energy resources to adjust the power, frequency, voltage, etc. of the power system in order to maintain the stable operation of the power system and improve energy utilization efficiency.

[0070] Furthermore, the power demand or power redundancy of each energy device can be determined based on the power generation capacity and load demand of each energy device; the power transmission capacity of the communication link can also be determined based on the link weight corresponding to the communication link between each energy device and the equipment information of each energy device; and then the power that can be transmitted to each energy device can be determined based on the power demand or power redundancy of each energy device and the power transmission capacity of the communication link, and then the regulation capacity of the virtual power plant can be determined, so as to facilitate the intelligent scheduling and optimal control of each energy device, and take measures to promote the stable operation of the virtual power plant to maintain the stable operation of the virtual power plant.

[0071] The above-mentioned method for determining the regulation capacity of the virtual electric field obtains the equipment information of each energy device in the virtual power plant and the link information of the communication link between each energy device; determines the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device; determines the regulation capacity of the virtual electric field according to the equipment information of each energy device and the link weight corresponding to the communication link between each energy device. The above-mentioned scheme, when determining the regulation capacity of the virtual power plant, takes into account the spatial connection relationship of the virtual power plant, that is, the link information of the communication link between each energy device, and takes into account the real-time change factors of the virtual power plant, that is, the equipment information of each energy device, so that when determining the regulation capacity of the virtual electric field, more dimensional influencing factors are taken into account, so that the determined regulation capacity of the virtual power plant is more accurate.

[0072] In some optional implementations, see Figure 2 , Figure 2 A flow chart of determining the link weights corresponding to the communication links between energy devices is provided, which specifically includes the following steps:

[0073] S201, determining the centrality value of each energy device according to the link information of the communication link between each energy device.

[0074] Among them, the centrality value can measure the influence of energy equipment on the virtual power plant. For example, the centrality value can reflect the number of adjacent energy equipment of each energy equipment, the degree to which each energy equipment serves as the shortest path intermediary between other energy equipment in the virtual power plant, and the distance between each energy equipment and other energy equipment.

[0075] Exemplarily, the transmission distance of the communication link between each energy device, the number of links, and the energy devices in the link, etc. can be determined based on the transmission loss, transmission distance, and link identification, and then the centrality value of each energy device can be determined based on the transmission distance of the communication link between each energy device, the number of links, and the energy devices in the link, etc. For example, the mapping relationship between the transmission distance of the communication link, the number of links, and the energy devices in the link, etc., and the centrality value of each energy device can be obtained in advance, and then based on the mapping relationship, the centrality value of each energy device can be determined based on the transmission distance of the communication link between each energy device, the number of links, and the energy devices in the link, etc.

[0076] S202: Determine the link weight corresponding to the communication link between each energy device according to the centrality value of each energy device and the link information of the communication link between each energy device.

[0077] Exemplarily, a mapping relationship can be established between the centrality value of each energy device and the link information of the communication link between each energy device, and the link weight corresponding to the communication link between each energy device. For example, a data fitting method or a model training method can be used to establish a mapping relationship between the centrality value of each energy device and the link information of the communication link between each energy device, and the link weight corresponding to the communication link between each energy device; then, based on the mapping relationship, the link weight corresponding to the communication link between each energy device can be determined according to the centrality value of each energy device and the link information of the communication link between each energy device.

[0078] Exemplarily, the link weight corresponding to the communication link between each energy device may also be determined based on the following calculation formula:

[0079]

[0080] in, For energy device v and energy device u 1 The link weight corresponding to the communication link between is the centrality of energy device v, For energy equipment 1 The centrality of For energy device v and energy device u 1 The transmission distance of the communication link between For energy device v and energy device u 1 The transmission loss of the communication link between them, α, β, γ are weight coefficients, and the energy device u 1 It is an energy device directly connected to the energy device v.

[0081] In an embodiment of the present application, the degree of influence of each energy device on the virtual power plant is determined based on the link information of the communication link between each energy device, and then the link weight corresponding to the communication link between each energy device is determined based on the degree of influence of each energy device on the virtual power plant and the link information of the communication link between each energy device, so that the determined link weight is more accurate, and then the regulation capability of the determined virtual electric field is more accurate.

[0082] Exemplarily, when determining the centrality value of each energy device, the betweenness centrality, closeness centrality and degree centrality of each energy device can be determined first, and then the centrality value of each energy device can be determined based on the betweenness centrality, closeness centrality and degree centrality of each energy device.

[0083] Based on this, see Figure 3 , Figure 3 A schematic diagram of a process for determining the centrality value of each energy device is provided, which specifically includes the following steps:

[0084] S301, determining the betweenness centrality, closeness centrality and degree centrality of each energy device according to the link information of the communication link between each energy device.

[0085] Among them, the betweenness centrality of each energy device is used to measure the frequency of the energy device appearing in all the shortest communication links of the virtual power plant; the closeness centrality is used to measure the average distance between the energy device and all other energy devices; and the degree centrality is used to measure the number of other energy devices connected to the energy device.

[0086] Exemplarily, the betweenness centrality, closeness centrality and degree centrality of each energy device may be determined based on the transmission distance, the number of links and the energy devices in the link in the link information of the communication link between the energy devices.

[0087] Exemplarily, a mapping relationship between the transmission distance, number of links and energy devices in the link information of the communication link between each energy device and the betweenness centrality, closeness centrality and degree centrality of each energy device can be pre-constructed, and then based on the mapping relationship, the betweenness centrality, closeness centrality and degree centrality of each energy device can be determined.

[0088] S302, for each energy device, weighted operations are performed on the betweenness centrality, closeness centrality and degree centrality of the energy device to obtain the centrality value of the energy device.

[0089] For example, the sum of the betweenness centrality, closeness centrality and degree centrality of each energy device can be directly used as the centrality value of the energy device. In order to improve the accuracy of the centrality value, the influence of betweenness centrality, closeness centrality and degree centrality on the virtual power plant can be determined based on empirical data, and then the weights corresponding to betweenness centrality, closeness centrality and degree centrality can be determined according to the influence degree, and then the betweenness centrality, closeness centrality and degree centrality of the energy device are weighted to obtain the centrality value of the energy device.

[0090] Exemplarily, the centrality value of the energy device may be determined based on the following calculation formula:

[0091]

[0092] Among them, C(v) represents the centrality value of energy equipment v, and a, b, and c represent the weights of betweenness centrality, closeness centrality, and degree centrality, respectively.

[0093] In an embodiment of the present application, the centrality value of the energy equipment is determined by the betweenness centrality, closeness centrality and degree centrality of the energy equipment, so that the determined centrality value can reflect the influence of the energy equipment on the virtual power plant from multiple dimensions; and, the betweenness centrality, closeness centrality and degree centrality of the energy equipment are weighted to determine the centrality value of the energy equipment, so that the determined centrality value of the energy equipment can more accurately reflect the influence of the energy equipment on the virtual power plant.

[0094] In some optional implementations, the betweenness centrality of each energy device may be determined according to a calculation formula for betweenness centrality.

[0095] For example, see Figure 4 , Figure 4 A schematic flow chart of determining the betweenness centrality of each energy device is provided, which specifically includes the following steps:

[0096] S401, determining a first number of the shortest communication links in the virtual power plant and a second number of the shortest communication links passing through each energy device according to link information of the communication links between each energy device.

[0097] Exemplarily, the number of shortest communication links in the virtual power plant, i.e., the first number, can be determined based on the transmission distance and the number of links of the communication links between the energy devices; and the number of shortest communication links passing through each energy device, i.e., the second number, can be determined based on the transmission distance, the number of links and the energy devices in the links of the communication links between the energy devices.

[0098] S402: For each energy device, determine the betweenness centrality of the energy device according to a first number of shortest communication links in the virtual power plant and a second number of shortest communication links passing through the energy device.

[0099] Furthermore, for each energy device, the betweenness centrality of the energy device can be determined based on the following calculation formula according to a first number of shortest communication links in the virtual power plant and a second number of shortest communication links passing through the energy device.

[0100]

[0101] Among them, BC(v) is the betweenness centrality of energy equipment v, σ st represents the number of shortest paths from energy device s to energy device t, i.e., the first number, σ st (v) represents the number of shortest paths from energy device s to energy device t that pass through energy device v, that is, the second number. Energy device s, energy device t, and energy device v are different and are any devices in the virtual power plant.

[0102] In an embodiment of the present application, by determining a first number of shortest communication links in a virtual power plant and a second number of shortest communication links passing through each energy device, the betweenness centrality can be determined so that the betweenness centrality can be used to accurately describe the frequency of occurrence of energy devices in all shortest communication links in the virtual power plant.

[0103] In some optional implementations, the proximity centrality of each energy device may be determined based on a calculation formula for proximity centrality.

[0104] For example, see Figure 5 , Figure 5 A flow chart of determining the proximity center of each energy device is provided, which specifically includes the following steps:

[0105] S501 , determining the distance of the shortest communication link between each energy device and other energy devices according to the link information of the communication link between each energy device.

[0106] Exemplarily, the distance of the shortest communication link between each energy device and other energy devices may be determined based on the transmission distance of the communication link between each energy device.

[0107] S502, for each energy device, determine the proximity centrality of the energy device according to the distance of the shortest communication link between the energy device and other energy devices, and the number of energy devices in the virtual power plant.

[0108] Furthermore, based on the following calculation formula, for each energy device, the proximity centrality of the energy device can be determined according to the distance of the shortest communication link between the energy device and other energy devices, and the number of energy devices in the virtual power plant.

[0109]

[0110] Among them, CC(v) represents the closeness centrality of energy device v, N represents the number of energy devices in the virtual power plant, V represents the set of all energy devices in the virtual power plant, d(v,u 2 ) represents energy device v and energy device u 2 The shortest communication distance between Indicates energy equipment u 2 Any device except energy device v in the set of all energy devices in the virtual power plant.

[0111] In an embodiment of the present application, by determining the distance of the shortest communication link between an energy device and other energy devices, and the number of energy devices in a virtual power plant, the proximity centrality can be determined so that the proximity centrality can be used to accurately describe the average distance between an energy device and all other energy devices.

[0112] In some optional implementations, the degree centrality of each energy device may be determined according to a degree centrality calculation formula.

[0113] For example, see Figure 6 , Figure 6 A schematic flow chart of determining the degree centrality of each energy device is provided, which specifically includes the following steps:

[0114] S601, determining the number of communication links corresponding to each energy device according to link information of the communication links between each energy device.

[0115] Exemplarily, the number of communication links corresponding to each energy device may be determined based on the number of communication links between the energy devices and the energy devices in the links.

[0116] S602, for each energy device, determine the degree centrality of the energy device according to the number of communication links corresponding to the energy device and the number of energy devices in the virtual power plant.

[0117] Furthermore, based on the following calculation formula, the degree centrality of the energy device can be determined according to the number of communication links corresponding to the energy device and the number of energy devices in the virtual power plant.

[0118]

[0119] Where DC(v) represents the degree centrality of energy device v, and deg(v) represents the number of communication links connected to energy device v.

[0120] In an embodiment of the present application, by determining the number of communication links corresponding to each energy device and the number of energy devices in the virtual power plant, the degree centrality can be determined so that the degree centrality can be used to accurately describe the number of energy devices connected to other energy devices.

[0121] In some optional implementations, see Figure 7 , Figure 7 A flow chart of determining the regulation capacity of a virtual power plant is provided, which specifically includes the following steps:

[0122] S701, for each energy device, determine the regulation capability of the energy device according to a first difference between the power generation capability of the energy device and the load demand, and the sum of the products of the link weight of each target link and the second difference corresponding to the target link.

[0123] For example, the regulation capacity of each energy device may be determined first, and then the regulation capacity of the virtual power plant may be determined based on the regulation capacity of each energy device.

[0124] For example, for each energy device, the regulation capacity of the energy device can be determined based on the following calculation formula, according to the first difference between the power generation capacity of the energy device and the load demand, and the sum of the products of the link weight of each target link and the second difference corresponding to the target link. Wherein, the target link is the communication link between the energy device and any energy device adjacent to the energy device, and the second difference corresponding to the target link is the difference between the power generation capacity and the load demand of any energy device adjacent to the energy device.

[0125]

[0126] Among them, Rv is the regulation capacity of energy equipment v, , Represent energy equipment v and energy equipment u respectively 1 The power generation capacity, , Represent energy equipment v and energy equipment u respectively 1 The load demand, V(v) represents the set of all energy devices directly connected to energy device v, Wvu 1 Indicates the connection between energy device v and energy device u 1 The link weight of the target link, is the first difference between the power generation capacity of energy equipment v and the load demand, Any energy device u adjacent to energy device v 1The difference between the power generation capacity and the load demand is the second difference corresponding to the target link.

[0127] S702: The sum of the regulation capabilities of the energy devices is used as the regulation capability of the virtual electric field.

[0128] Furthermore, the sum of the regulation capabilities of each energy device can be used as the regulation capability of the virtual electric field. It can be determined by the following calculation formula:

[0129]

[0130] in, is the regulation capacity of the virtual electric field, and N is the total number of energy devices in the virtual electric field.

[0131] In an embodiment of the present application, the regulation capability of each energy device is determined based on the power generation capacity and load demand of each energy device, as well as the link weight corresponding to the communication link between each energy device, and then the regulation capability of the virtual electric field is determined. This allows the regulation capability of the virtual electric field to take into account more dimensional influencing factors, making the determined regulation capability of the virtual power plant more accurate.

[0132] In some optional implementations, in order to more quickly determine the equipment information of each energy device in the virtual power plant and the link information of the communication link, a graph model of the virtual power plant can be established, and then the equipment information of each energy device in the virtual power plant and the link information of the communication link can be obtained in the graph model.

[0133] Based on this, see Figure 8 , Figure 8 Another flow chart for determining the regulation capacity of a virtual power plant is provided, which specifically includes the following steps:

[0134] S801, constructing a graph model of a virtual power plant according to the equipment information of each energy device and the link weight corresponding to the communication link between each energy device.

[0135] Among them, the graph model includes each energy device, the attribute information of each energy device, the communication links between the energy devices, and the attribute information of each communication link. The attribute information of each energy device is the device information of each energy device, and the attribute information of each communication link is the transmission loss and weight of the communication link.

[0136] For example, each energy device can be predefined as a node in the graph, and the edges in the graph can be constructed according to the communication network structure between the energy devices, and attribute information can be annotated for each node and edge. The communication network structure between the energy devices includes physical connections and communication links; the attribute information of each node includes power generation capacity and load demand, and the attribute information annotated for each edge includes transmission loss, link weight, etc.

[0137] S802, determining the regulation capability of the virtual electric field based on the graphical model of the virtual power plant.

[0138] Exemplarily, based on the graph model of the virtual power plant, the device information of each energy device and the link weight corresponding to the communication link between each energy device can be quickly obtained, thereby determining the regulation capacity of the virtual electric field based on the graph model of the virtual power plant. For example, the graph model of the virtual power plant can be input into the neural network model to extract the device information of each energy device and the link weight corresponding to the communication link between each energy device, and determine the regulation capacity of the virtual electric field based on the device information of each energy device and the link weight corresponding to the communication link between each energy device.

[0139] In an embodiment of the present application, by establishing a graphical model of a virtual power plant, the equipment information of each energy device and the link weight corresponding to the communication link between each energy device can be quickly determined, thereby improving the efficiency of determining the regulation capability of the virtual electric field.

[0140] In some optional implementations, see Fig. 9 , Fig. 9 A flowchart of another method for determining virtual electric field regulation capability is provided, which specifically includes the following steps:

[0141] S901, obtaining device information of each energy device in the virtual power plant and link information of the communication link between each energy device.

[0142] S902, determining the betweenness centrality, closeness centrality and degree centrality of each energy device according to the link information of the communication link between each energy device.

[0143] S903, for each energy device, weighted operations are performed on the betweenness centrality, closeness centrality and degree centrality of the energy device to obtain the centrality value of the energy device.

[0144] S904: Determine the link weight corresponding to the communication link between each energy device according to the centrality value of each energy device and the link information of the communication link between each energy device.

[0145] S905: construct a graph model of the virtual power plant according to the device information of each energy device and the link weight corresponding to the communication link between each energy device.

[0146] S906: Determine the regulation capability of the virtual electric field based on the graph model of the virtual power plant.

[0147] The specific process of S901 to S906 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0148] Furthermore, the execution order of the above steps is only an exemplary description and is not used to limit the execution steps. Other execution orders of the steps are within the protection scope of the embodiments of the present application.

[0149] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0150] Based on the same inventive concept, the embodiment of the present application also provides a virtual electric field regulation capability determination device for implementing the virtual electric field regulation capability determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more virtual electric field regulation capability determination device embodiments provided below can refer to the limitations of the virtual electric field regulation capability determination method above, and will not be repeated here.

[0151] In an exemplary embodiment, Fig.10 As shown, a device for determining virtual electric field regulation capability is provided, comprising:

[0152] The acquisition module 10 is used to acquire the equipment information of each energy device in the virtual power plant and the link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes the power generation capacity and the load demand; the link information includes at least two of the transmission loss, the transmission distance and the link identifier;

[0153] A first determination module 20, configured to determine a link weight corresponding to a communication link between each energy device according to link information of the communication link between each energy device;

[0154] The second determination module 30 is used to determine the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device.

[0155] The above-mentioned virtual electric field regulation capacity determination device obtains the equipment information of each energy device in the virtual power plant and the link information of the communication link between each energy device; determines the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device; determines the regulation capacity of the virtual electric field according to the equipment information of each energy device and the link weight corresponding to the communication link between each energy device. The above-mentioned scheme, when determining the regulation capacity of the virtual power plant, takes into account the spatial connection relationship of the virtual power plant, that is, the link information of the communication link between each energy device, and takes into account the real-time change factors of the virtual power plant, that is, the equipment information of each energy device, so that when determining the regulation capacity of the virtual electric field, more dimensional influencing factors are taken into account, so that the determined regulation capacity of the virtual power plant is more accurate.

[0156] In one embodiment, the first determining module 20 specifically includes:

[0157] A first determining unit is used to determine the centrality value of each energy device according to the link information of the communication link between each energy device; wherein the centrality value is used to measure the influence of the energy device on the virtual power plant;

[0158] The second determining unit is used to determine the link weight corresponding to the communication link between each energy device according to the centrality value of each energy device and the link information of the communication link between each energy device.

[0159] In one embodiment, the first determining unit specifically includes:

[0160] The first determination subunit is used to determine the betweenness centrality, closeness centrality and degree centrality of each energy device according to the link information of the communication link between each energy device; wherein the betweenness centrality of each energy device is used to measure the frequency of the energy device appearing in all the shortest communication links of the virtual power plant; the closeness centrality is used to measure the average distance between the energy device and all other energy devices; and the degree centrality is used to measure the number of energy devices connected to other energy devices;

[0161] The second determination subunit is used to perform weighted operations on the betweenness centrality, closeness centrality and degree centrality of each energy device to obtain the centrality value of the energy device.

[0162] In one embodiment, the first determining subunit is specifically configured to:

[0163] According to the link information of the communication links between the energy devices, the first number of the shortest communication links in the virtual power plant and the second number of the shortest communication links passing through the energy devices are determined; for each energy device, the betweenness centrality of the energy device is determined according to the first number of the shortest communication links in the virtual power plant and the second number of the shortest communication links passing through the energy device.

[0164] In one embodiment, the first determining subunit is specifically configured to:

[0165] Based on the link information of the communication link between each energy device, the distance of the shortest communication link between each energy device and other energy devices is determined; for each energy device, the proximity centrality of the energy device is determined based on the distance of the shortest communication link between the energy device and other energy devices and the number of energy devices in the virtual power plant.

[0166] In one embodiment, the first determining subunit is specifically configured to:

[0167] According to the link information of the communication links between the energy devices, the number of communication links corresponding to each energy device is determined; for each energy device, the degree centrality of the energy device is determined according to the number of communication links corresponding to the energy device and the number of energy devices in the virtual power plant.

[0168] In one embodiment, the second determining module 30 is specifically configured to:

[0169] For each energy device, the regulation capacity of the energy device is determined according to the first difference between the power generation capacity of the energy device and the load demand, and the sum of the products of the link weight of each target link and the second difference corresponding to the target link; wherein the target link is the communication link between the energy device and any energy device adjacent to the energy device, and the second difference corresponding to the target link is the difference between the power generation capacity of any energy device adjacent to the energy device and the load demand; the sum of the regulation capacities of the energy devices is taken as the regulation capacity of the virtual electric field.

[0170] In one embodiment, the second determining module 30 is specifically configured to:

[0171] A graphical model of a virtual power plant is constructed based on the equipment information of each energy device and the link weight corresponding to the communication link between each energy device; wherein the graphical model includes each energy device, the attribute information of each energy device, the communication link between each energy device, and the attribute information of each communication link, the attribute information of each energy device is the equipment information of each energy device, and the attribute information of each communication link is the transmission loss and weight of the communication link; based on the graphical model of the virtual power plant, the regulation capacity of the virtual electric field is determined.

[0172] Each module in the above-mentioned virtual electric field regulation capability determination device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0173] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.11 As shown. The computer device includes a processor, a memory, an input / output (I / O) interface and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store virtual electric field operation data and structural data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the virtual electric field regulation capability is implemented.

[0174] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0175] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the method for determining the virtual electric field regulation capability described in any of the above embodiments are implemented.

[0176] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for determining the virtual electric field regulation capability described in any of the above embodiments are implemented.

[0177] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of the method for determining the virtual electric field regulation capability described in any of the above embodiments.

[0178] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0179] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0180] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0181] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining virtual electric field regulation capability, characterized in that: The method comprises: Acquire equipment information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the equipment information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identifier; Determine the link weight corresponding to the communication link between each energy device according to the link information of the communication link between each energy device; The regulation capability of the virtual electric field is determined according to the device information of each energy device and the link weight corresponding to the communication link between the energy devices.

2. The method according to claim 1, characterized in that The determining, according to the link information of the communication links between the energy devices, the link weights corresponding to the communication links between the energy devices comprises: Determine the centrality value of each energy device according to the link information of the communication link between each energy device; wherein the centrality value is used to measure the influence of the energy device on the virtual power plant; According to the centrality value of each energy device and the link information of the communication link between each energy device, the link weight corresponding to the communication link between each energy device is determined.

3. The method according to claim 2, characterized in that Determining the centrality value of each energy device according to the link information of the communication link between each energy device includes: According to the link information of the communication links between the energy devices, the betweenness centrality, closeness centrality and degree centrality of each energy device are determined; wherein the betweenness centrality of each energy device is used to measure the frequency of the energy device appearing in all the shortest communication links of the virtual power plant; the closeness centrality is used to measure the average distance between the energy device and all other energy devices; the degree centrality is used to measure the number of other energy devices connected to the energy device; For each energy device, a weighted operation is performed on the betweenness centrality, closeness centrality and degree centrality of the energy device to obtain the centrality value of the energy device.

4. The method according to claim 3, characterized in that According to the link information of the communication links between the energy devices, the betweenness centrality of each energy device is determined, including: Determine, according to link information of the communication links between the energy devices, a first number of the shortest communication links in the virtual power plant and a second number of the shortest communication links passing through the energy devices; For each energy device, the betweenness centrality of the energy device is determined according to a first number of shortest communication links in the virtual power plant and a second number of shortest communication links passing through the energy device.

5. The method according to claim 3, characterized in that: According to the link information of the communication link between each energy device, the proximity centrality of each energy device is determined, including: Determine the distance of the shortest communication link between each energy device and other energy devices according to the link information of the communication link between each energy device; For each energy device, the proximity centrality of the energy device is determined according to the distance of the shortest communication link between the energy device and other energy devices and the number of energy devices in the virtual power plant.

6. The method according to claim 3, characterized in that According to the link information of the communication link between each energy device, the degree centrality of each energy device is determined, including: Determine the number of communication links corresponding to each energy device according to the link information of the communication links between each energy device; For each energy device, the degree centrality of the energy device is determined according to the number of communication links corresponding to the energy device and the number of energy devices in the virtual power plant.

7. The method according to claim 1, characterized in that Determining the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device includes: For each energy device, the regulation capacity of the energy device is determined according to a first difference between the power generation capacity of the energy device and the load demand, and the sum of the products of the link weight of each target link and the second difference corresponding to the target link; wherein the target link is a communication link between the energy device and any energy device adjacent to the energy device, and the second difference corresponding to the target link is a difference between the power generation capacity and the load demand of any energy device adjacent to the energy device; The sum of the regulation capabilities of each energy device is taken as the regulation capability of the virtual electric field.

8. The method according to claim 1, characterized in that Determining the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device includes: According to the equipment information of each energy device and the link weight corresponding to the communication link between each energy device, a graph model of the virtual power plant is constructed; wherein the graph model includes each energy device, the attribute information of each energy device, the communication link between each energy device, and the attribute information of each communication link, the attribute information of each energy device is the equipment information of each energy device, and the attribute information of each communication link is the transmission loss and weight of the communication link; Based on the graphical model of the virtual power plant, a regulation capability of the virtual electric field is determined.

9. A device for determining virtual electric field regulation capability, characterized in that: The device comprises: An acquisition module, used to acquire device information of each energy device in the virtual power plant and link information of the communication link between each energy device; wherein the device information of each energy device at least includes power generation capacity and load demand; the link information includes at least two of transmission loss, transmission distance and link identification; A first determination module, configured to determine a link weight corresponding to a communication link between each energy device according to link information of the communication link between each energy device; The second determination module is used to determine the regulation capability of the virtual electric field according to the device information of each energy device and the link weight corresponding to the communication link between each energy device.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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