Virtual power plant control method and system, electronic equipment, and storage medium

Abstract

The present application provides a virtual power plant management and control method and system, electronic device, and storage medium, the method comprising: obtaining a first power supply amount of each distributed power supply device, and in response to the first power supply amount meeting the power supply request amount, performing power supply management and control on each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device; in response to the first power supply amount not meeting the power supply request amount, obtaining a second power supply amount of each distributed power supply device; in response to the second power supply amount being not less than the power supply request amount, performing power supply management and control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device; in response to the second power supply amount being less than the power supply request amount, sending a power-saving task to the terminal device corresponding to each distributed power-consuming device, and performing power supply management and control on each distributed power supply device based on a preset management and control standard. The present application can improve the reliability of virtual power plant management and control.

Description

Technical Field

[0001] The present application belongs to the field of virtual power plant management technology, and more specifically, relates to a virtual power plant management and control method and system, electronic equipment, and storage medium. Background Art

[0002] Virtual power plants can aggregate, coordinate, and optimize dispersed resources such as distributed power sources, energy storage systems, controllable loads, and flexible power users. Existing virtual power plants, upon receiving grid demand information, typically issue power supply tasks directly in a preset, fixed sequence. This sequence is typically determined by the capacity of distributed power supply equipment to maximize grid demand, but it fails to consider the power supply side, specifically the status of each distributed power supply device. This results in irrational and unreliable power supply tasks being generated and issued, leading to poor power supply performance.

[0003] Therefore, a reliable virtual power plant management and control method is needed. Summary of the Invention

[0004] The purpose of this application is to provide a virtual power plant management and control method and system, electronic equipment, and storage medium to improve the reliability of virtual power plant management and control.

[0005] A first aspect of an embodiment of the present application provides a virtual power plant management and control method, including:

[0006] Obtaining a first power supply amount of each distributed power supply device, where the first power supply amount is the maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, where the clean distributed power supply device is a distributed power supply device whose power source is clean energy;

[0007] In response to the first power supply satisfying the power supply request, controlling the power supply of each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device, where the power supply request is sent by the power grid to the virtual power plant when a preset condition is met;

[0008] In response to the first power supply amount not meeting the power supply request amount, obtaining a second power supply amount of each distributed power supply device, where the second power supply amount is a maximum amount of power that each distributed power supply device can provide;

[0009] In response to the second power supply amount being not less than the power supply request amount, performing power supply control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device;

[0010] In response to the second power supply amount being less than the power supply request amount, a power-saving task is sent to the terminal device corresponding to each distributed power consumer, power supply control is performed on each distributed power supply device based on preset control standards, and power-saving control is performed on each distributed power consumer based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power consumer to the virtual power plant after receiving the power-saving task.

[0011] A second aspect of the embodiments of the present application provides a virtual power plant management and control system, including:

[0012] a first data acquisition module, configured to acquire a first power supply amount of each distributed power supply device, wherein the first power supply amount is a maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, wherein the clean distributed power supply device is a distributed power supply device whose power source is clean energy;

[0013] a first control module, configured to, in response to the first power supply satisfying the power supply request, perform power supply control on each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device, wherein the power supply request is sent by the power grid to the virtual power plant when a preset condition is met;

[0014] a second data acquisition module, configured to acquire, in response to the first power supply amount not meeting the power supply request amount, a second power supply amount of each distributed power supply device, where the second power supply amount is a maximum amount of power that can be provided by each distributed power supply device;

[0015] a second control module, configured to, in response to the second power supply amount being not less than the power supply request amount, perform power supply control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device;

[0016] The third management and control module is used to send a power-saving task to the terminal device corresponding to each distributed power user in response to the second power supply amount being less than the power supply request amount, perform power supply management and control on each distributed power supply device based on preset management and control standards, and perform power-saving management and control on each distributed power user based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power user to the virtual power plant after receiving the power-saving task.

[0017] In a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned virtual power plant control method when executing the computer program.

[0018] In a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned virtual power plant control method are implemented.

[0019] The virtual power plant control method and system, electronic device, and storage medium provided by the embodiments of the present application have the following beneficial effects:

[0020] The embodiment of the present application adopts a hierarchical management and control strategy when facing different power supply situations. When the first power supply of each distributed power supply device meets the power supply request, power supply management and control is performed based on the power supply price corresponding to the clean distributed power supply device in the distributed power supply device, thereby improving the overall energy utilization efficiency and reducing the waste of non-renewable energy. In the embodiment of the present application, when the first power supply does not meet the power supply request, the maximum amount of power that can be provided (the second power supply) is determined based on all distributed power supply devices, and when the second power supply is not less than the power supply request, the distributed power supply device with more stable power supply is selected to meet the power supply request, thereby ensuring the stability of the power supply of the entire virtual power plant to the power grid. In the embodiment of the present application, when the second power supply still does not meet the power supply request, the present application adopts various management and control measures. On the one hand, power-saving tasks are sent to the terminal devices corresponding to each distributed power-consuming device. On the other hand, power supply management and control are carried out on each distributed power supply device based on preset management and control standards. At the same time, power-saving management and control are carried out on each distributed power-consuming device based on power-saving response information. Starting from both the power supply side and the power consumption side, by guiding distributed power-consuming devices to save power and optimizing the power supply of distributed power supply devices, it is possible to more effectively cope with power shortages, achieve supply and demand balance as much as possible, improve the response capabilities of virtual power plants in complex power supply situations, and enhance the reliability and stability of virtual power plant management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 A flowchart of a virtual power plant control method provided in one embodiment of the present application;

[0023] Figure 2 A structural block diagram of a virtual power plant management and control system provided in one embodiment of the present application;

[0024] Figure 3 A schematic block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0025] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0026] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.

[0027] Please refer to Figure 1 , Figure 1 The flowchart of the virtual power plant control method provided in one embodiment of the present application can be executed by an electronic device. For example, the electronic device can be a central server of the virtual power plant. The method may include: S101 to S105.

[0028] S101: Acquire a first power supply amount of each distributed power supply device, where the first power supply amount is the maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, where the clean distributed power supply device is a distributed power supply device whose power source is clean energy.

[0029] In this embodiment, the distributed power supply equipment is a small power generation or storage unit dispersed in different geographical locations. For example, it can be a clean energy power generation equipment whose power generation source is solar photovoltaic, wind power generation, biomass power generation, etc. It can also be other power supply equipment: energy storage batteries, small gas turbines, etc. The first power supply amount is the sum of the maximum power generation that can be provided by all clean energy power supply equipment. Clean energy, also known as renewable energy or green energy, refers to energy types that basically do not generate pollutant emissions during production and use, have little impact on the environment, and are naturally renewable resources, such as solar energy, wind energy, hydropower and other energy sources.

[0030] In this embodiment, distributed power supply equipment may include distributed power storage equipment and distributed power generation equipment. The difference between distributed power storage equipment and distributed power generation equipment is that distributed power generation equipment does not have a power storage function and can only generate power in real time after receiving a power supply signal and integrate the generated power into the power grid, while distributed energy storage equipment has a power storage function and can convert its stored energy into electrical energy and integrate it into the power grid. The first power supply capacity of each distributed power supply device can be understood as the maximum power supply capacity that can be provided by the distributed power supply device that sources its power from clean energy. The central server of the virtual power plant can directly obtain the real-time power storage capacity of a portion of the distributed power storage devices that support real-time monitoring (the real-time power storage capacity can be used as the maximum power supply capacity of the distributed power storage device). For distributed power storage devices that do not support real-time monitoring and all distributed power generation devices, the central server of the virtual power plant can receive the maximum power supply capacity uploaded by their corresponding administrators.

[0031] In this embodiment, for each distributed power supply device connected to the virtual power plant, its corresponding manager can upload the aforementioned power supply price and maximum power supply in real time. When the real-time storage capacity of the distributed power storage device monitored in real time by the central server of the virtual power plant is different from the maximum power supply uploaded by its corresponding manager, the maximum power supply uploaded by its corresponding manager shall prevail.

[0032] S102: In response to the first power supply satisfying the power supply request, each clean distributed power supply device is controlled based on the power supply price corresponding to each clean distributed power supply device. The power supply request is sent by the power grid to the virtual power plant when the preset conditions are met.

[0033] In this embodiment, the power supply request amount is the power supply demand issued by the power grid to the virtual power plant under preset conditions. The preset conditions may be that the power grid is at peak load or the power provided by the conventional power generation side corresponding to the power grid cannot meet the power demand of the power consumption side. The power supply price is the unit price of each distributed power supply device supplying power to the power grid. It can be set by the management personnel of the distributed power supply device and uploaded to the central server of the virtual power plant. When the central server of the virtual power plant receives the power supply request amount sent by the power grid and the first power supply amount of each distributed power supply device meets the power supply request amount, it can further determine how to control the power supply of each distributed power supply device based on the power supply price of each distributed power supply device it receives. For example, the corresponding distributed power supply devices can be sorted from low to high according to the power supply price, and then a part of the distributed power supply devices can be determined to supply power based on the power supply amount that each distributed power supply device can provide.

[0034] In this embodiment, power supply control can be understood to include controlling when the distributed power supply equipment performs power supply, when to end power supply and the power supply amount, and can also include controlling the distributed power supply equipment not to perform power supply action, which is not limited in the embodiment of this application.

[0035] In this embodiment, when the first power supply of each distributed power supply device meets the power supply request, the reason for controlling the power supply of each clean distributed power supply device based on the power supply price is that when the first power supply of each distributed power supply device meets the power supply request, it means that the power supply request at this time is relatively small compared to the maximum power that the distributed power supply device can provide, and the power supply pressure is relatively small. Therefore, on the basis of selecting clean distributed power supply devices, the power supply price can be given priority to reduce the power supply cost. In this embodiment of the present application, giving priority to distributed power supply devices whose energy source is clean energy can also reduce carbon emissions and be environmentally friendly. The marginal cost of clean power generation equipment (such as photovoltaic and wind power) is close to zero. Prioritized scheduling can reduce dependence on traditional high-cost units (such as gas turbines) and reduce the total power generation cost of the entire network.

[0036] S103: In response to the first power supply amount not meeting the power supply request amount, obtaining a second power supply amount of each distributed power supply device, where the second power supply amount is a maximum amount of power that each distributed power supply device can provide.

[0037] In this embodiment, when the first power supply does not meet the power supply request, it indicates that relying solely on the clean distributed power supply equipment among the distributed power supply equipment cannot meet the current grid demand. In this case, a second power supply can be obtained, and subsequent power allocation and other operations can be performed based on the second power supply. The second power supply is the maximum power generation capacity that can be provided by all distributed power supply equipment (including clean energy and other energy sources).

[0038] S104: In response to the second power supply amount being not less than the power supply request amount, performing power supply management and control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device.

[0039] In this embodiment, when the first power supply amount of each distributed power supply device does not meet the power supply request amount, and the second power supply amount is not less than the power supply request amount, power supply stability is selected as power supply control because at this time the power supply request amount is under certain pressure relative to the total power supply amount of the distributed power supply device, and the power supply demand is large, so power supply stability is given priority. That is to say, power supply control can be performed on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device.

[0040] Furthermore, since the second power supply amount is not less than the power supply request amount at this time, and considering that it still does not exceed the total power supply amount of the distributed power supply equipment at this time, while considering the power supply stability, the aforementioned power supply price can also be considered. Specifically, the power supply stability and the power supply price can be used as objective functions, and based on the objective function, it can be determined how to control the power supply of each distributed power supply equipment. The specific method of power supply control based on the objective function is detailed in the following embodiment.

[0041] Power supply stability refers to the ability of a device to continuously and reliably supply power. It can be determined based on the historical fault data and output characteristic data corresponding to the distributed power supply device. The output characteristic data can be the fluctuation of the output voltage of the distributed power supply device, the response speed, etc., or the stability of the historical output voltage of the distributed power supply device. The stability of the historical output voltage can be determined based on the fluctuation of the historical output voltage of the distributed power supply device. For example, if the historical fault data corresponding to a certain distributed power supply device reflects that the power supply device has a high number of faults, and / or the output characteristic data of the distributed power supply device reflects that the voltage and other characteristics fluctuate greatly, or the distributed power supply device has a slow response speed, then the stability of the distributed power supply device is poor. Conversely, if the historical fault data corresponding to a certain distributed power supply device reflects that the power supply device has a low number of faults, and / or the output characteristic data of the distributed power supply device reflects that the voltage and other characteristics fluctuate less, or the distributed power supply device has a fast response speed, then the stability of the distributed power supply device is good. The stability of the distributed power supply device can be determined by determining the score corresponding to the historical fault data, the score corresponding to the output characteristic data, and their corresponding weights.

[0042] S105: In response to the second power supply amount being less than the power supply request amount, a power-saving task is sent to the terminal device corresponding to each distributed power consumer, power supply management and control is performed on each distributed power supply device based on a preset management and control standard, and power-saving management and control is performed on each distributed power consumer based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power consumer to the virtual power plant after receiving the power-saving task.

[0043] In this embodiment, distributed power equipment is power equipment with adjustable power load within the jurisdiction of the virtual power plant, which can be large motors in industrial parks, air-conditioning systems in shopping malls, charging stations, etc. The terminal equipment corresponding to the distributed power equipment is the equipment used by the managers of the distributed power equipment to manage the distributed power equipment. For example, for large motors in industrial parks, the corresponding terminal equipment can be the central controller of the industrial park. The managers of the industrial park can control the start and stop or output power of various power equipment (including large motors) in the industrial park through the central controller.

[0044] In this embodiment, the power-saving task can be a load reduction instruction sent by the central server of the virtual power plant to the power-consuming device. The load reduction instruction can carry the load reduction range (such as reducing power by 20%), the execution period (such as 14:00-16:00), etc., or it can simply be a prompt message (for example: the current grid load is large, please try to reduce electricity consumption). The power-saving response information is the execution status feedback from the power-consuming terminal, that is, whether the terminal device corresponding to the distributed power-consuming device (essentially its management personnel) has undertaken this power-saving task. The central server of the virtual power plant will, by default, regard distributed power-consuming devices that have not sent power-saving response information as unable to undertake this power-saving task, and will not perform power-saving control on the distributed power-consuming devices in this control.

[0045] In this embodiment, the preset control standard may be to control each distributed power supply device to supply power to the grid according to its uploaded or default maximum power supply capacity. Because the power supply request sent by the grid exceeds the maximum power that each distributed power supply device can provide, it should output the full amount to meet the power supply request as much as possible. Power saving control may be to control the power off of distributed power users that have sent power saving response information, and not control distributed power users that have not sent power saving response information.

[0046] From the above, it can be concluded that the embodiment of the present application adopts a hierarchical management and control strategy when facing different power supply situations. When the first power supply of each distributed power supply device meets the power supply request, power supply management is performed based on the power supply price corresponding to the clean distributed power supply device in the distributed power supply device, which improves the overall energy utilization efficiency and reduces the waste of non-renewable energy. In the embodiment of the present application, when the first power supply does not meet the power supply request, the maximum amount of power that can be provided (the second power supply) is determined based on all distributed power supply devices, and when the second power supply is not less than the power supply request, the distributed power supply device with more stable power supply is selected to meet the power supply request, thereby ensuring the stability of the power supply of the entire virtual power plant to the power grid. In the embodiment of the present application, when the second power supply still does not meet the power supply request, the present application adopts various management and control measures. On the one hand, power-saving tasks are sent to the terminal devices corresponding to each distributed power-consuming device. On the other hand, power supply management and control are carried out on each distributed power supply device based on preset management and control standards. At the same time, power-saving management and control are carried out on each distributed power-consuming device based on power-saving response information. Starting from both the power supply side and the power consumption side, by guiding distributed power-consuming devices to save power and optimizing the power supply of distributed power supply devices, it is possible to more effectively cope with power shortages, achieve supply and demand balance as much as possible, improve the response capabilities of virtual power plants in complex power supply situations, and enhance the reliability and stability of virtual power plant management and control.

[0047] In one embodiment of the present application, power supply control of each clean distributed power supply device is performed based on the power supply price corresponding to each clean distributed power supply device, including:

[0048] Determining a first power supply control strategy based on power supply prices corresponding to each clean distributed power supply device; the first power supply control strategy includes a plurality of first target devices and their corresponding power supply amounts; the first target devices are clean distributed power supply devices to which power supply amounts have been allocated, and the clean distributed power supply devices to which power supply amounts have been allocated include a plurality of first distributed power generation devices;

[0049] In response to a total power supply of the plurality of first distributed power generation devices satisfying a stability condition, power supply control is performed on the plurality of first target devices based on a first power supply control strategy; the stability condition being that the actual total power supply of each of the first distributed power generation devices is higher than a preset proportion of the expected total power supply of each of the first distributed power generation devices within a preset time period;

[0050] Determining a second power supply control strategy based on the first power supply control strategy; the first power supply control strategy and the second power supply control strategy control different clean distributed power supply devices;

[0051] In response to the total power supply of multiple first distributed power generation devices not meeting the stability conditions, the first power supply control strategy is adjusted, and the distributed power supply devices under its control are power-controlled based on the adjusted first power supply control strategy, and the distributed power supply devices under its control are power-controlled based on the second power supply control strategy; the clean distributed power supply devices controlled by the adjusted first power supply control strategy and the second power supply control strategy are different.

[0052] In this embodiment, the power supply price corresponding to each clean distributed power supply device can be sent by its corresponding administrator to the central server of the virtual power plant via a terminal device. Sorting each clean distributed power supply device from low to high according to power supply price and allocating power to it can reduce power supply costs. The allocated power supply is the maximum power supply of each distributed power supply device. The first power supply management and control strategy is a power supply scheduling scheme based on power price ranking, which prioritizes low-cost devices to meet grid demand. It can be composed of multiple first target devices and their corresponding power supplies. The first distributed power generation device is a distributed power generation device within the first target device, which can be understood as including a distributed power storage device and a distributed power generation device. The distributed power generation device within the first target device is the first distributed power generation device. After obtaining the first power supply management and control strategy, power supply management and control can be performed on each first target device based on this strategy. Specifically, each first target device can be controlled to supply power according to its corresponding power supply (allocated power supply).

[0053] Secondly, the present application also considers that since distributed power supply equipment includes distributed power storage equipment and distributed power generation equipment, clean distributed power supply equipment should also include clean distributed power storage equipment and clean distributed power generation equipment. Therefore, the first target equipment obtained by the aforementioned allocation according to the electricity price includes clean power generation equipment. In this embodiment, the energy source of clean power generation equipment is solar energy, hydropower, wind energy, and other natural energies, which are relatively volatile. For example, on cloudy or rainy days, the power output of power generation equipment with solar energy as its energy source will be greatly affected. Wind energy itself is a relatively uncontrollable energy source, but clean power storage equipment will not be affected by this because during the power supply process, the clean power storage equipment outputs its stored power, which is relatively stable. Therefore, the present application can also be provided with a compensation or backup power supply station. Therefore, the embodiment of the present application is provided with a second power supply control strategy. It can be understood that the second power supply control strategy is a backup means. When the total power supply of the aforementioned multiple first distributed power generation equipment does not meet the stability conditions, the second power supply control strategy can be executed.

[0054] The stability condition can be that the actual total power supply of each first distributed power generation device within a preset time period is higher than a preset ratio of the expected total power supply of each first distributed power generation device; the preset ratio can be 80%, which can be set based on experience or preference. The preset time period can be 30 minutes or one hour, etc. The expected total power supply is the total power supply that each first distributed power generation device is expected to output within the preset time period. It can be determined based on long-term monitoring or based on information uploaded by the management personnel corresponding to the distributed power generation device. Specifically, the central controller of the virtual power plant can monitor and record various data of each distributed power supply device over a long period of time, so that the power output of each distributed power supply device per unit time can be obtained, and thus the expected total power supply can be obtained.

[0055] In this embodiment, the device controlled by the first power supply control strategy is the first target device in the clean distributed power supply device, and the device controlled by the second power supply control strategy is the distributed power storage device in the clean distributed power supply device that is not the first target device. The device controlled by the adjusted first power supply control strategy is the first distributed power storage device, and the first distributed power storage device is the power storage device in the first target device. It can be understood that the first target device includes the first distributed power storage device and the first distributed power generation device. The essence of adjusting the first power supply control strategy is to exclude the device with unstable power supply in the first target device (that is, the first distributed power generation device with unstable power generation).

[0056] In this embodiment, since the energy source of the first distributed power generation equipment is unstable, the second power supply control strategy is determined based on the total power supply of the first distributed power generation equipment in the embodiment of the present application. The second power supply control strategy is different from the first power supply control strategy in that the second power supply control strategy only controls the distributed power storage equipment. Because if there is still clean power generation equipment in the power supply equipment determined this time, there will still be a problem of unstable output.

[0057] In one embodiment of the present application, a method for determining the first power supply management and control strategy includes:

[0058] Determine the power supply equipment from various clean distributed power supply equipment in descending order of power supply prices;

[0059] Allocate power to the power supply equipment according to the determined maximum power supply corresponding to the power supply equipment;

[0060] The following operations are repeated until the allocated power supply is no less than the power supply request:

[0061] Determine the power supply equipment from the distributed power supply equipment with unallocated power supply in the order of power supply price from low to high;

[0062] If the determined maximum power supply corresponding to the power supply equipment is not greater than the first power supply difference, allocating power to the power supply equipment according to the determined maximum power supply corresponding to the power supply equipment;

[0063] If the determined maximum power supply corresponding to the power supply device is greater than the first power supply difference, allocating power to the power supply device according to the power supply difference;

[0064] The first power supply amount difference is the difference between the power supply request amount and the currently determined maximum power supply amount of the power supply device.

[0065] In this embodiment, a power supply device is determined from each clean distributed power supply device in ascending order of power price. This power supply device is the one with the lowest power price among the clean distributed power supply devices. In other words, an initial power supply device is first selected for subsequent iterations. In this embodiment, a power supply device is determined from among the distributed power supply devices that have not yet been allocated power, in ascending order of power price. This power supply device is essentially the one with the lowest power price among the distributed power supply devices that have not yet been allocated power. The aforementioned steps are repeated until the allocated power supply is no less than the requested power supply. During this aforementioned iteration, the power supply allocated to the last power supply device determined is often not the maximum power supply corresponding to that power supply device, but rather the difference between the requested power supply sent by the power grid and the maximum power supply determined for the power supply device before that power supply device is determined. Only when the two are exactly equal is the power supply allocated to the last power supply device determined to be its corresponding maximum power supply. However, in essence, the first power supply when determining that power supply device is equal to the maximum power supply of that power supply device, and therefore represents the maximum power supply.

[0066] For example, suppose the grid requests 800 kW of power from a virtual power plant. A number of clean distributed power generation devices are currently available, with varying prices and maximum capacities: Photovoltaic power plant: 0.3 yuan / kWh, maximum capacity 300 kW. Wind power plant: 0.35 yuan / kWh, maximum capacity 250 kW. Biomass power plant: 0.4 yuan / kWh, maximum capacity 200 kW. Battery energy storage system: 0.6 yuan / kWh, maximum capacity 150 kW.

[0067] The process of determining the first power supply control strategy is as follows:

[0068] First, the clean distributed power supply devices are selected from these devices in order of power price, and their power is allocated according to their maximum power capacity. The photovoltaic power plant with the lowest power price is selected first, and 300 kW is allocated. The total allocated power capacity is now 300 kW, which is 500 kW short of the requested power capacity of 800 kW (the first power capacity difference is 500 kW). Next, the wind power plant with the second lowest power price is selected, and 250 kW is allocated. The total allocated power capacity reaches 550 kW, with a shortfall of 250 kW (the first power capacity difference is 250 kW). Next, the biomass power plant is selected, and 200 kW is allocated. The total allocated power capacity reaches 750 kW, with a shortfall of 50 kW (the first power capacity difference is 50 kW). At this point, the allocated power capacity still falls short of the requested power capacity, so the cycle continues: selecting from previously allocated devices in order of power price, from lowest to highest. The remaining device is the battery energy storage system. The battery energy storage system has a maximum power capacity of 150 kW, which is greater than the current first power capacity difference of 50 kW, so it is allocated 50 kW. The total allocated power capacity is 300 + 250 + 200 + 50 = 800 kW, satisfying the power request and halting operations. The finalized first power supply control strategy is to have the photovoltaic power plant provide 300 kW, the wind power plant 250 kW, the biomass power plant 200 kW, and the battery energy storage system 50 kW. The core logic of this entire process is to consistently select devices in ascending order of price, allocating power based on their maximum capacity. If the remaining requested capacity is less than a device's maximum capacity, only enough power is allocated to meet the remaining requested capacity, until the total power supply reaches the grid's requested capacity. This prioritizes low-cost clean energy while precisely meeting power demand, achieving a balance between cost-effectiveness and cleanliness.

[0069] Specifically, the second power supply control strategy can be determined based on the following method:

[0070] Determining a total power supply corresponding to the plurality of first distributed power generation devices based on the first power supply control strategy;

[0071] A second power supply control strategy is determined based on the total power supply corresponding to multiple first distributed power generation devices. The second power supply control strategy is used to control the standby distributed power storage device, which is a distributed power storage device in each clean distributed power supply device that has not been allocated power supply.

[0072] Specifically, in this embodiment, determining the second power supply control strategy based on the total power supply corresponding to the plurality of first distributed power generation devices includes:

[0073] Determine the power storage device from each standby distributed power storage device in descending order of power supply price;

[0074] Allocate power to the power storage device according to the determined maximum power supply corresponding to the power storage device;

[0075] The following operations are performed cyclically until the allocated power supply is no less than the total power supply of the plurality of first distributed power generation devices, thereby obtaining a second power supply control strategy:

[0076] Determine the power storage equipment from the standby distributed power storage equipment of the unallocated power supply in the order of power supply price from low to high;

[0077] If the determined maximum power supply corresponding to the power storage device is not greater than the second power supply difference, allocating power supply to the power storage device according to the determined maximum power supply corresponding to the power storage device;

[0078] If the determined maximum power supply corresponding to the power storage device is greater than the second power supply difference, allocating power supply to the power storage device according to the second power supply difference;

[0079] The second power supply difference is the difference between the total power supply and the currently determined maximum power supply of the power storage device.

[0080] In this embodiment, the backup distributed energy storage device is a distributed energy storage device among the clean distributed power supply devices that is not the first target device, that is, a distributed energy storage device that was not selected when determining the first power supply control strategy based on the power supply price. The backup distributed energy storage device can be understood as an alternative power supply (storage) device to prevent the first distributed power generation device from being unable to respond to or meet the power supply request sent by the power grid due to unstable power generation due to environmental factors.

[0081] Therefore, only when the power generation of the first distributed power generation device does not meet the stability condition will the backup distributed power storage device be controlled based on the second power supply control strategy.

[0082] In addition, the first power supply control strategy should be adjusted, and power supply control should be performed based on the adjusted first power supply control strategy. Specifically, the first distributed power generation device and its corresponding power supply in the first power supply control strategy can be eliminated to obtain the adjusted first power supply control strategy. Because when the power generation of the first distributed power generation device does not meet the stability condition, it may indicate that the external environmental conditions were unstable when the power grid issued the power supply request, resulting in the general power generation effect of the clean distributed power generation device. In order to ensure the stability of the power supply and that the total amount meets the requirements, the clean distributed power generation device should not be enabled in this power supply task.

[0083] In this embodiment, the process of determining the second power supply control strategy can be the same as the aforementioned process of determining the first power supply control strategy. Both are allocated according to the power supply price, and finally a plurality of backup distributed power storage devices are determined. In this embodiment of the present application, it is also considered that the backup distributed power storage device may not be able to meet the total power supply of the first distributed power generation device. At this time, it is not necessary to consider whether it is a clean energy storage device, and a new batch of backup distributed energy storage devices can be re-determined according to the power supply price.

[0084] For example, assume that the total power supply of distributed generation equipment (such as photovoltaic and wind power generation equipment) is 500 kW. These equipment may experience power fluctuations due to factors such as weather, requiring backup distributed energy storage equipment to compensate. The currently available backup distributed energy storage equipment (i.e., equipment not participating in the first power supply control strategy) is as follows: Energy Storage Station A: Power supply price 0.5 yuan / kWh, maximum power supply capacity 200 kW. Energy Storage Station B: Power supply price 0.6 yuan / kWh, maximum power supply capacity 150 kW. Energy Storage Station D: Power supply price 0.7 yuan / kWh, maximum power supply capacity 250 kW.

[0085] The process for determining the second power supply control strategy is as follows: First, select the backup distributed energy storage devices in ascending order of power prices and allocate power according to their maximum power supply. Energy storage station A, with the lowest power price, is selected first and allocated 200 kW. At this point, the total allocated storage capacity is 200 kW, which is 300 kW short of the total power supply of 500 kW (the second power supply difference is 300 kW). Since the allocated power supply does not reach the total power supply, the process continues: Energy storage station B is selected next in order of power price, with a maximum power supply of 150 kW. The second power supply difference is 300 kW, which is less than 300 kW. Therefore, the maximum power supply of 150 kW is allocated to Energy Storage Station B. The total allocated capacity becomes 350 kW, with a shortfall of 150 kW (the second power supply difference is 150 kW). The process continues: the remaining backup energy storage device is Energy Storage Station D, with a maximum power supply of 250 kW. The current second power supply difference is 150kW. Since 250kW is greater than 150kW, 150kW is allocated to Energy Storage Station D. The total allocated storage capacity is now 200kW + 150kW + 150kW = 500kW, reaching the total power supply capacity of the first distributed generation device, and operation is stopped. The final second power supply control strategy is to have Energy Storage Station A supply 200kW, Energy Storage Station B supply 150kW, and Energy Storage Station D supply 150kW.

[0086] The core logic of the entire process is this: Taking the total power supply of the first distributed generation device as the target, backup energy storage devices are selected from low to high electricity prices. Allocation is made based on the device's maximum power supply first. When the device's maximum power supply exceeds the required compensation, only the remaining difference is allocated until the total compensation reaches the target value. This ensures sufficient backup energy storage to compensate when the first distributed generation device's output is unstable, while also controlling compensation costs by sorting by electricity price.

[0087] As can be seen from the above, in this embodiment of the present application, power is allocated to each clean distributed power supply device in ascending order according to power prices until the power request is met. This results in a first power supply control strategy, and power supply control is performed on the devices based on this strategy. By prioritizing the use of devices with lower power prices for power supply, low-cost resources can be fully utilized to meet grid demand, effectively reducing the power supply costs of the virtual power plant and improving economic efficiency. This embodiment of the present application also takes into account the significant volatility of the energy sources of clean power generation equipment (such as solar, hydro, and wind power generation equipment), which may affect power supply stability. Therefore, a compensation or backup mechanism is implemented. By activating backup clean energy storage equipment, power supply gaps can be promptly supplemented, ensuring power supply stability and reliability, avoiding power outages or shortfalls caused by unstable power generation, and ensuring the normal operation of the power grid. In this embodiment of the present application, the characteristics of different types of clean distributed power supply equipment (including power generation equipment and energy storage equipment) are fully considered when determining the power supply control strategy. In the first power supply control strategy, low-cost power generation equipment is prioritized, while backup energy storage equipment is appropriately activated when power generation is unstable, achieving optimal resource allocation. It not only fully utilizes the advantages of clean energy, but also avoids resource waste and power supply risks through a reasonable allocation mechanism, improves the overall operating efficiency and resource utilization efficiency of the virtual power plant, and improves the reliability of virtual power plant management and control.

[0088] In one embodiment of the present application, power supply management and control of each distributed power supply device is performed based on the power supply stability corresponding to each distributed power supply device, including:

[0089] Obtaining the power supply stability corresponding to each distributed power supply device; the power supply stability corresponding to each distributed power supply device is determined based on the historical fault data and output characteristic data corresponding to the distributed power supply device;

[0090] An objective function is established based on the power supply stability and power price corresponding to each distributed power supply device. The optimization goal of the objective function is to maximize the power supply stability and minimize the power supply price. The objective function includes the weights corresponding to the power supply stability and the power supply price.

[0091] determining constraints based on the power supply request;

[0092] A third power supply control strategy is determined based on the constraint conditions and the objective function, and power supply control is performed on the second distributed power supply device based on the third power supply control strategy, wherein the second distributed power supply device is a power supply device in the distributed power supply device.

[0093] In one embodiment of the present application, the virtual power plant management and control method further includes: determining a weight corresponding to power supply stability and a weight corresponding to power supply price based on the grid frequency stability of the power grid to obtain an adjusted objective function, wherein the grid frequency stability is negatively correlated with the weight corresponding to the power supply stability;

[0094] The third power supply control strategy is determined based on the constraint conditions and the objective function, including:

[0095] A third power supply control strategy is determined based on the constraints and the adjusted objective function.

[0096] In this embodiment, the power supply stability can be determined based on the historical fault data and output characteristic data corresponding to each distributed power supply device. The historical fault data can be determined by calculating the failure rate (such as the number of failures per month), the average repair time, the average trouble-free working time, etc. through the equipment operation record. The failure rate index can be determined based on a preset mapping relationship. The volatility index can be determined by analyzing the volatility, regulation capability, and response speed of the equipment output power. Finally, the power supply stability is determined by weighted calculation, etc. The process of determining the volatility index can also be based on common means in this field, such as mapping or scoring. The weight of the weighted calculation can be evenly distributed, which will not be repeated in the embodiment of this application. The second distributed power supply device is the distributed power supply device determined from the distributed power supply devices based on the constraint conditions and the objective function.

[0097] In this embodiment, the objective function may be: ,in, Indicates the weight corresponding to power supply stability, represents the weight corresponding to the power supply price, represents minimization, Indicates the total number of distributed power supply equipment, Represents the first dimension after dimension normalization The power supply stability corresponding to each distributed power supply device, Indicates the The power supply corresponding to each distributed power supply device, Represents the first dimension after dimension normalization The power supply price corresponding to each distributed power supply device. and All are dimensionally normalized values. Dimensional normalization can be performed based on commonly used methods in this field to map them to the interval [0, 1]. Specifically, dimension normalization can be performed as follows (all dimensions are eliminated): , ,in, represents the first dimensionless The power supply stability corresponding to each distributed power supply device, represents the dimensionless The power supply price corresponding to each distributed power supply device, It represents the maximum value of the power supply stability of all distributed power supply equipment without dimension normalization. The maximum value of the power supply prices of all distributed power supply devices that have not been dimensionally normalized. In this embodiment, the calculation can also be performed based on other dimensionally normalized calculation methods.

[0098] is the average stability of all distributed power supply equipment, Indicates the The stability contribution of each distributed power supply device. For example, even if a single device has high stability, but the power supply is small, its contribution to the overall stability is limited. represents the total stability contribution, Represents the total power supply (normalization factor). The normalization factor eliminates the influence of absolute values ​​and converts indicators of different dimensions (stability contribution, cost) into average values. In this embodiment, this translates to the average value of unit power supply, allowing them to be compared and weighted on the same scale. Without normalization, devices with large power supply capacities would monopolize the indicator, preventing a fair reflection of the average stability and cost per kilowatt-hour.

[0099] The average cost of powering all devices, Shidi The power supply cost of a distributed power supply device, Represents the total electricity cost.

[0100] In this embodiment, the constraint condition can be , based on the constraints and the objective function, some distributed power supply equipment can be determined from various distributed power supply equipment for power supply management and control, that is, the second distributed power supply equipment. When calculating the objective function, the weight corresponding to the power supply stability and the weight corresponding to the power supply price can be determined based on the grid frequency stability of the power grid. The lower the grid frequency stability, the greater the weight corresponding to the power supply stability should be, so the grid frequency stability is negatively correlated with the weight corresponding to the power supply stability. Grid frequency stability is the degree of fluctuation of the synchronous frequency of the power system. Grid frequency stability can be measured based on the frequency change rate. In this embodiment, the weight can be determined based on a preset mapping relationship, linear relationship, piecewise function, etc. The specific mapping function or linear relationship coefficient can be determined based on multiple experiments, where, and The value range of is [0.2, 0.8]. It should be noted that, and When calculating the objective function, it should be an exact fixed value determined by the grid frequency stability. and The value of should be in [0.2, 0.8]. Those skilled in the art can determine a specific mapping relationship based on multiple experiments or simple linear functions. The mapping relationship is used to determine the stability of the power grid frequency. and .

[0101] In this embodiment, the constraint condition also defaults to the following condition: the power supply of each distributed power supply device is not greater than the maximum power supply of its corresponding distributed power supply device. The quantity to be solved is solved based on the objective function and constraints (i.e. to The process of ) can be solved by Lagrange multiplier method, mixed integer programming and other methods. The combination method is a solution for multiple or one region. Any one of the solutions can be selected as the final solution, or the one with the smallest non-zero item among all the solutions can be selected as the final solution. The distributed power supply device corresponding to the non-zero item is the determined second distributed power supply device, that is, in the embodiment of the present application, by default: if the allocated power supply of a certain distributed power supply device is 0, then the distributed power supply device does not belong to the second distributed power supply device, and only the distributed power supply device with an allocated power supply that is not 0 belongs to the second distributed power supply device. If there are multiple solutions with the same number of non-zero items, further screening can be performed according to other dimensions, such as carbon emissions (that is, priority for clean power supply equipment), etc., until a unique solution is determined, or it can be directly determined randomly, which will not be repeated in the embodiment of the present application.

[0102] From the above, it can be concluded that the present application determines the power supply stability based on the historical fault data and output characteristic data corresponding to each distributed power supply device, and establishes an objective function in combination with the power supply price. The optimization goal of the objective function is to maximize the power supply stability and minimize the power supply price, avoiding the problem of simply pursuing low cost while ignoring power supply stability, or simply pursuing high stability while increasing costs. Through the power supply stability, power supply price and their corresponding weights in the objective function, the importance of the two can be adjusted according to actual conditions to achieve a balanced optimization of power supply stability and cost. While meeting the power supply demand, the operating cost of the virtual power plant is reduced, the power supply scheduling efficiency and accuracy of the virtual power plant are improved, and the reliability and stability of the virtual power plant management and control are improved.

[0103] Corresponding to the virtual power plant control method of the above embodiment, Figure 2 This is a block diagram of the structure of the virtual power plant management and control system provided by an embodiment of the present application. For the sake of convenience, only the parts related to the embodiment of the present application are shown. Figure 2 The virtual power plant management and control system 20 includes: a first data acquisition module 21, a first management and control module 22, a second data acquisition module 23, a second management and control module 24 and a third management and control module 25.

[0104] The first data acquisition module 21 is configured to acquire a first power supply amount of each distributed power supply device, where the first power supply amount is the maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, where the clean distributed power supply device is a distributed power supply device whose power source is clean energy;

[0105] a first control module 22 for controlling the power supply of each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device in response to the first power supply amount satisfying the power supply request amount, where the power supply request amount is sent by the power grid to the virtual power plant when preset conditions are met;

[0106] A second data acquisition module 23 is configured to acquire a second power supply amount of each distributed power supply device in response to the first power supply amount not meeting the power supply request amount, where the second power supply amount is the maximum amount of power that each distributed power supply device can provide;

[0107] a second control module 24 configured to, in response to the second power supply amount being not less than the power supply request amount, perform power supply control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device;

[0108] The third management and control module 25 is used to send a power-saving task to the terminal device corresponding to each distributed power user in response to the second power supply amount being less than the power supply request amount, perform power supply management and control on each distributed power supply device based on preset management and control standards, and perform power-saving management and control on each distributed power user based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power user to the virtual power plant after receiving the power-saving task.

[0109] In one embodiment of the present application, the first control module 22 is specifically configured to determine a first power supply control strategy based on the power supply price corresponding to each clean distributed power supply device; the first power supply control strategy includes multiple first target devices and their corresponding power supply amounts; the first target devices are clean distributed power supply devices to which power supply amounts have been allocated, and the clean distributed power supply devices to which power supply amounts have been allocated include multiple first distributed power generation devices;

[0110] In response to a total power supply of the plurality of first distributed power generation devices satisfying a stability condition, power supply control is performed on the plurality of first target devices based on a first power supply control strategy; the stability condition being that the actual total power supply of each of the first distributed power generation devices is higher than a preset proportion of the expected total power supply of each of the first distributed power generation devices within a preset time period;

[0111] Determining a second power supply control strategy based on the first power supply control strategy; the first power supply control strategy and the second power supply control strategy control different clean distributed power supply devices;

[0112] In response to the total power supply of multiple first distributed power generation devices not meeting the stability conditions, the first power supply control strategy is adjusted, and the distributed power supply devices under its control are power-controlled based on the adjusted first power supply control strategy, and the distributed power supply devices under its control are power-controlled based on the second power supply control strategy; the clean distributed power supply devices controlled by the adjusted first power supply control strategy and the second power supply control strategy are different.

[0113] In one embodiment of the present application, the first control module 22 is further configured to determine the power supply equipment from the various clean distributed power supply equipment in order of power supply prices from low to high;

[0114] Allocate power to the power supply equipment according to the determined maximum power supply corresponding to the power supply equipment;

[0115] The following operations are repeated until the allocated power supply is no less than the power supply request:

[0116] Determine the power supply equipment from the distributed power supply equipment with unallocated power supply in the order of power supply price from low to high;

[0117] If the determined maximum power supply corresponding to the power supply equipment is not greater than the first power supply difference, allocating power to the power supply equipment according to the determined maximum power supply corresponding to the power supply equipment;

[0118] If the determined maximum power supply corresponding to the power supply device is greater than the first power supply difference, allocating power to the power supply device according to the power supply difference;

[0119] The first power supply amount difference is the difference between the power supply request amount and the currently determined maximum power supply amount of the power supply device.

[0120] In one embodiment of the present application, the first management and control module 22 is specifically used to determine a second power supply management and control strategy based on the total power supply of multiple first distributed power generation devices. The second power supply management and control strategy is used to manage the backup distributed power storage device, which is a distributed power storage device in each clean distributed power supply device that has not been allocated power supply.

[0121] In one embodiment of the present application, the first control module 22 is further configured to determine the power storage device from the various backup distributed power storage devices in order of power supply prices from low to high;

[0122] Allocate power to the power storage device according to the determined maximum power supply corresponding to the power storage device;

[0123] The following operations are performed cyclically until the allocated power supply is no less than the total power supply of the plurality of first distributed power generation devices, thereby obtaining a second power supply control strategy:

[0124] Determine the power storage equipment from the standby distributed power storage equipment of the unallocated power supply in the order of power supply price from low to high;

[0125] If the determined maximum power supply corresponding to the power storage device is not greater than the second power supply difference, allocating power supply to the power storage device according to the determined maximum power supply corresponding to the power storage device;

[0126] If the determined maximum power supply corresponding to the power storage device is greater than the second power supply difference, allocating power supply to the power storage device according to the second power supply difference;

[0127] The second power supply difference is the difference between the total power supply and the currently determined maximum power supply of the power storage device.

[0128] In one embodiment of the present application, the second control module 24 is specifically configured to obtain the power supply stability corresponding to each distributed power supply device; the power supply stability corresponding to each distributed power supply device is determined based on the historical fault data and output characteristic data corresponding to the distributed power supply device;

[0129] An objective function is established based on the power supply stability and power price corresponding to each distributed power supply device. The optimization goal of the objective function is to maximize the power supply stability and minimize the power supply price. The objective function includes the weights corresponding to the power supply stability and the power supply price.

[0130] determining constraints based on the power supply request;

[0131] A third power supply control strategy is determined based on the constraint conditions and the objective function, and power supply control is performed on the second distributed power supply device based on the third power supply control strategy, wherein the second distributed power supply device is a power supply device in the distributed power supply device.

[0132] In one embodiment of the present application, the virtual power plant management and control system 20 further includes: a weight determination module for determining a weight corresponding to power supply stability and a weight corresponding to power supply price based on the grid frequency stability of the power grid, so as to obtain an adjusted objective function, wherein the grid frequency stability is negatively correlated with the weight corresponding to power supply stability;

[0133] The weight determination module is specifically used to determine the third power supply management and control strategy based on the constraint conditions and the adjusted objective function.

[0134] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned system embodiments, such as Figure 2 The functions of the first data acquisition module 21 , the first control module 22 , the second data acquisition module 23 , the second control module 24 and the third control module 25 are shown.

[0135] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0136] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0137] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store device type information.

[0138] In specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present application can execute the implementation method described in the virtual power plant control method provided in the embodiments of the present application, and can also execute the implementation method of the electronic device described in the embodiments of the present application, which will not be repeated here.

[0139] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0140] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as the electronic device's hard drive or memory. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.

[0141] Those skilled in the art will appreciate that the modules / units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0142] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules, units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or modules / units, or it can be an electrical, mechanical or other form of connection.

[0144] Modules / units described as separate components may or may not be physically separate, and components displayed as modules / units may or may not be physical modules / units, that is, they may be located in one place or distributed across multiple network modules / units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0145] In addition, the functional modules / units in the various embodiments of the present application may be integrated into a single processing module / unit, or each module / unit may exist physically separately, or two or more modules / units may be integrated into a single module / unit. The aforementioned integrated modules / units may be implemented in the form of hardware or software functional modules / units.

[0146] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and such modifications or substitutions should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A virtual power plant management and control method, characterized in that: include: Obtaining a first power supply amount of each distributed power supply device, where the first power supply amount is the maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, where the clean distributed power supply device is a distributed power supply device whose power source is clean energy; In response to the first power supply satisfying the power supply request, controlling the power supply of each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device, wherein the power supply request is sent by the power grid to the virtual power plant when a preset condition is met; In response to the first power supply amount not meeting the power supply request amount, obtaining a second power supply amount of each distributed power supply device, where the second power supply amount is a maximum amount of power that can be provided by each distributed power supply device; In response to the second power supply amount being not less than the power supply request amount, performing power supply control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device; In response to the second power supply amount being less than the power supply request amount, a power-saving task is sent to the terminal device corresponding to each distributed power user, power supply management and control is performed on each distributed power supply device based on preset management and control standards, and power-saving management and control is performed on each distributed power user based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power user to the virtual power plant after receiving the power-saving task.

2. The virtual power plant management and control method according to claim 1, characterized in that: The power supply control of each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device includes: Determining a first power supply control strategy based on the power supply price corresponding to each clean distributed power supply device; the first power supply control strategy includes multiple first target devices and their corresponding power supply amounts; the first target devices are clean distributed power supply devices to which power supply amounts have been allocated, and the clean distributed power supply devices to which power supply amounts have been allocated include multiple first distributed power generation devices; In response to the total power supply of the plurality of first distributed power generation devices satisfying a stability condition, power supply control is performed on the plurality of first target devices based on the first power supply control strategy; the stability condition being that the actual total power supply of each of the first distributed power generation devices is higher than a preset proportion of the expected total power supply of each of the first distributed power generation devices within a preset time period; Determining a second power supply control strategy based on the first power supply control strategy; the clean distributed power supply equipment controlled by the first power supply control strategy and the second power supply control strategy are different; In response to the total power supply of the multiple first distributed power generation devices not meeting the stability conditions, the first power supply control strategy is adjusted, and power supply control is performed on the distributed power supply devices under its control based on the adjusted first power supply control strategy, and power supply control is performed on the distributed power supply devices under its control based on the second power supply control strategy; the clean distributed power supply devices controlled by the adjusted first power supply control strategy and the second power supply control strategy are different.

3. The virtual power plant management and control method according to claim 2, characterized in that: The method for determining the first power supply control strategy includes: Determine the power supply equipment from various clean distributed power supply equipment in descending order of power supply prices; Allocate power to the power supply device according to the determined maximum power supply corresponding to the power supply device; The following operations are performed cyclically until the allocated power supply is no less than the power supply request: Determine the power supply equipment from the distributed power supply equipment with unallocated power supply in the order of power supply price from low to high; If the determined maximum power supply corresponding to the power supply device is not greater than the first power supply difference, allocating power to the power supply device according to the determined maximum power supply corresponding to the power supply device; If the determined maximum power supply corresponding to the power supply device is greater than the first power supply difference, allocating power to the power supply device according to the power supply difference; The first power supply amount difference is the difference between the power supply request amount and the currently determined maximum power supply amount of the power supply device.

4. The virtual power plant management and control method according to claim 2, characterized in that: The determining the second power supply control strategy based on the first power supply control strategy includes: Determining a total power supply corresponding to the plurality of first distributed power generation devices based on the first power supply control strategy; A second power supply management and control strategy is determined based on the total power supply corresponding to the multiple first distributed power generation devices, and the second power supply management and control strategy is used to manage the backup distributed power storage devices, which are distributed power storage devices in each clean distributed power supply device that has not been allocated power supply.

5. The virtual power plant management and control method according to claim 4, characterized in that: The determining of the second power supply control strategy based on the total power supply corresponding to the plurality of first distributed power generation devices includes: Determine the power storage device from each standby distributed power storage device in descending order of power supply price; Allocate power to the power storage device according to the determined maximum power supply corresponding to the power storage device; The following operations are performed cyclically until the allocated power supply is no less than the total power supply of the plurality of first distributed power generation devices, thereby obtaining a second power supply management and control strategy: Determine the power storage equipment from the standby distributed power storage equipment of the unallocated power supply in the order of power supply price from low to high; If the determined maximum power supply corresponding to the power storage device is not greater than the second power supply difference, allocating power supply to the power storage device according to the determined maximum power supply corresponding to the power storage device; If the determined maximum power supply corresponding to the power storage device is greater than the second power supply difference, allocating power supply to the power storage device according to the second power supply difference; The second power supply difference is the difference between the total power supply and the currently determined maximum power supply of the power storage device.

6. The virtual power plant management and control method according to claim 1, characterized in that: The power supply control of each distributed power supply device based on the power supply stability corresponding to each distributed power supply device includes: Obtaining the power supply stability corresponding to each distributed power supply device; the power supply stability corresponding to each distributed power supply device is determined based on the historical fault data and output characteristic data corresponding to the distributed power supply device; Establishing an objective function based on the power supply stability and power supply price corresponding to each distributed power supply device, wherein the optimization goal of the objective function is to maximize the power supply stability and minimize the power supply price; the objective function includes weights corresponding to the power supply stability and the power supply price; determining a constraint condition based on the power request amount; A third power supply control strategy is determined based on the constraint conditions and the objective function, and power supply control is performed on the second distributed power supply device based on the third power supply control strategy, wherein the second distributed power supply device is a power supply device in the distributed power supply device.

7. The virtual power plant control method according to claim 6, characterized in that: Also includes: Determining a weight corresponding to power supply stability and a weight corresponding to power supply price based on the grid frequency stability of the power grid to obtain an adjusted objective function, wherein the grid frequency stability is negatively correlated with the weight corresponding to the power supply stability; The determining of the third power supply control strategy based on the constraint conditions and the objective function includes: A third power supply management and control strategy is determined based on the constraint conditions and the adjusted objective function.

8. A virtual power plant management and control system, characterized in that: include: a first data acquisition module, configured to acquire a first power supply amount of each distributed power supply device, wherein the first power supply amount is a maximum amount of power that can be provided by a clean distributed power supply device among the distributed power supply devices, wherein the clean distributed power supply device is a distributed power supply device whose power source is clean energy; a first control module, configured to, in response to the first power supply satisfying the power supply request, perform power supply control on each clean distributed power supply device based on the power supply price corresponding to each clean distributed power supply device, wherein the power supply request is sent by the power grid to the virtual power plant when a preset condition is met; a second data acquisition module, configured to acquire, in response to the first power supply amount not meeting the power supply request amount, a second power supply amount of each distributed power supply device, where the second power supply amount is a maximum amount of power that can be provided by each distributed power supply device; a second control module, configured to, in response to the second power supply amount being not less than the power supply request amount, perform power supply control on each distributed power supply device based on the power supply stability corresponding to each distributed power supply device; The third management and control module is used to send a power-saving task to the terminal device corresponding to each distributed power user in response to the second power supply amount being less than the power supply request amount, perform power supply management and control on each distributed power supply device based on preset management and control standards, and perform power-saving management and control on each distributed power user based on power-saving response information. The power-saving response information is sent by the terminal device corresponding to each distributed power user to the virtual power plant after receiving the power-saving task.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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