Load regulation method and device, computer device and storage medium

Abstract

The application relates to a load regulation method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining historical load data, regulation willingness grades and electricity price data of regulatable charging stations in a power distribution network; determining a regulatable intensity heat map of the regulatable charging stations according to the historical load data, regulation willingness grades and electricity price data of the regulatable charging stations; and regulating the charging load of the regulatable charging stations according to the regulatable intensity heat map of the regulatable charging stations and line operation conditions of the power distribution network. The method can reasonably regulate the charging load of the charging stations in the power distribution network.

Description

Technical Field

[0001] This application relates to the field of power distribution network technology, and in particular to a load regulation method, device, computer equipment, and storage medium. Background Technology

[0002] With the continuous development of new energy technologies, electric vehicles have been widely promoted. The large-scale connection of electric vehicles to the power grid through charging stations will have a significant impact on the stability of the power grid. Therefore, it is essential to rationally regulate the charging load of charging stations in the distribution network.

[0003] Currently, the main methods used to regulate the charging load of charging stations are adjusting the power of charging piles and implementing time-of-use pricing. However, these methods suffer from problems such as considering only one factor and having unsatisfactory control effects, and urgently need improvement. Summary of the Invention

[0004] Therefore, it is necessary to provide a load control method, device, computer equipment, and storage medium that can reasonably control the charging load of charging stations in the power distribution network, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a load regulation method, the method comprising:

[0006] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0007] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging station, a heat map of the controllability of the adjustable charging station is determined;

[0008] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the power distribution network, the charging load of the adjustable charging station is adjusted.

[0009] In one embodiment, a heatmap of the controllability of the controllable charging station is determined based on historical load data, controllability intention levels, and electricity price data, including:

[0010] Based on the historical load data of the adjustable charging station, determine the average load characteristic curve of the adjustable charging station;

[0011] By using different control ratios, the reference load per hour in the average load characteristic curve of the adjustable charging station is reduced to obtain the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios.

[0012] Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load of the adjustable charging station per hour under different control ratios, determine the power loss of the adjustable charging station per hour under different control ratios.

[0013] Based on the hourly power loss of the adjustable charging station under different control ratios, the controllability level of the adjustable charging station, and electricity price data, a heat map of the controllability of the adjustable charging station is determined.

[0014] In one embodiment, determining the average load characteristic curve of the adjustable charging station based on historical load data includes:

[0015] Identify the missing and outlier values ​​in the historical load data of the adjustable charging station, and process the missing and outlier values ​​to obtain the processed historical load data;

[0016] The average load of the adjustable charging is determined based on the processed historical load data;

[0017] The average load characteristic curve of the adjustable charging station is determined based on the average load of the adjustable charging station.

[0018] In one embodiment, based on the hourly power loss of the adjustable charging station under different control ratios, the controllability level of the adjustable charging station, and electricity price data, a heatmap of the controllability of the adjustable charging station is determined, including:

[0019] Based on the controllable charging station's controllability level and electricity price data, the cost of subsidies to be determined;

[0020] Based on the required subsidy cost and the hourly power loss of the adjustable charging station under different control ratios, the hourly control cost of the adjustable charging station under different control ratios is determined.

[0021] Based on the hourly control cost of the adjustable charging station under different control ratios, a heat map of the adjustable power of the adjustable charging station is determined.

[0022] In one embodiment, the charging load of the adjustable charging station is regulated based on the adjustable power heat map of the adjustable charging station and the line operation status of the power distribution network, including:

[0023] Based on the operating status of the distribution network lines, determine the loads to be regulated in the distribution network;

[0024] Based on the heat map of the adjustable power of the adjustable charging station and the load to be adjusted in the distribution network, the charging load of the adjustable charging station is adjusted.

[0025] In one embodiment, the charging load of the adjustable charging station is regulated based on the adjustable power heat map of the adjustable charging station and the load to be regulated in the distribution network, including:

[0026] Based on the heat map of the adjustable power of the adjustable charging station, the network topology of the adjustable charging station in the distribution network, the average load characteristic curve of the adjustable charging station, and the load to be adjusted in the distribution network, the adjustable load of the adjustable charging station is determined.

[0027] The charging load of the adjustable charging station is adjusted according to the adjustable load of the adjustable charging station.

[0028] Secondly, this application also provides a load regulation device, which includes:

[0029] The data acquisition module is used to acquire historical load data, control intention level, and electricity price data of controllable charging stations in the distribution network;

[0030] The heat map determination module is used to determine the controllability heat map of the controllable charging station based on the historical load data, controllability intention level, and electricity price data of the controllable charging station.

[0031] The control module is used to control the charging load of the controllable charging station based on the controllability heat map of the controllable charging station and the line operation status of the power distribution network.

[0032] Thirdly, this application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0033] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0034] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging station, a heat map of the controllability of the adjustable charging station is determined;

[0035] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the power distribution network, the charging load of the adjustable charging station is adjusted.

[0036] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0037] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0038] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging station, a heat map of the controllability of the adjustable charging station is determined;

[0039] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the power distribution network, the charging load of the adjustable charging station is adjusted.

[0040] Fifthly, this application also provides a computer program product, which includes a computer program that, when executed by a processor, performs the following steps:

[0041] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0042] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging station, a heat map of the controllability of the adjustable charging station is determined;

[0043] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the power distribution network, the charging load of the adjustable charging station is adjusted.

[0044] The aforementioned load control methods, devices, computer equipment, storage media, and computer program products, by combining historical load data, control intention levels, and electricity price data of controllable charging stations in the distribution network, determine a heat map of the controllability of the controllable charging stations. Then, by combining this heat map with the operational status of the distribution network lines, the charging load of the controllable charging stations is controlled. This scheme, in the scenario of controlling the charging load of controllable charging stations, considers not only the data of the controllable charging stations themselves but also the actual operational status of the distribution network, i.e., the line operational status. In other words, by analyzing multiple dimensions, the control of the charging load becomes more rational. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating a load control method in one embodiment;

[0046] Figure 2 This is a flowchart illustrating the process of determining the adjustable power heatmap of an adjustable charging station in one embodiment.

[0047] Figure 3 This is a schematic diagram of the average load characteristic curve of a certain adjustable charging station in one embodiment.

[0048] Figure 4 This is a schematic diagram showing the hourly power loss of a certain adjustable charging station under different control ratios in one embodiment.

[0049] Figure 5 This is a flowchart illustrating the process of determining the adjustable power heatmap of an adjustable charging station in another embodiment.

[0050] Figure 6 This is a schematic diagram of the adjustable power heat map of an adjustable charging station in one embodiment;

[0051] Figure 7 This is a flowchart illustrating the load control method in another embodiment;

[0052] Figure 8A This is a schematic diagram showing the location of each adjustable charging station connected to the power distribution network in one embodiment;

[0053] Figure 8B This is a schematic diagram of the load curve of the distribution network in one embodiment;

[0054] Figure 8C This is a schematic diagram of the average load characteristic curves of each adjustable charging station in one embodiment.

[0055] Figure 9 This is a structural block diagram of a load control device in one embodiment;

[0056] Figure 10 This is a structural block diagram of a heat map determination module in one embodiment;

[0057] Figure 11 Here is a block diagram of the control model in one embodiment;

[0058] Figure 12 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0060] Figure 1This is a flowchart illustrating a load regulation method in one embodiment. This embodiment is applicable to situations involving the regulation of charging load at charging stations in a distribution network. This method can be applied to computer equipment, such as servers or terminals with high computing power. This embodiment uses the application of this method to a server as an example for illustration. Figure 1 As shown, this may specifically include the following steps:

[0061] S110 acquires historical load data, control intention level, and electricity price data of controllable charging stations in the distribution network.

[0062] In this embodiment, the distribution network refers to any power grid that needs to regulate the charging load of the connected adjustable charging stations; the adjustable charging station is a charging station whose charging load has randomness and uncertainty in time and space distribution, such as an electric vehicle charging station. Optionally, one or more adjustable charging stations can be connected to a distribution network.

[0063] For each adjustable charging station, its historical load data represents the charging load data for a period of time prior to the current time. For example, the charging load data for the adjustable charging station within one month prior to the current time.

[0064] The controllability willingness level refers to the level at which an adjustable charging station is willing to have its charging load regulated. Optionally, this embodiment can pre-set five controllability willingness levels, from high to low: "very willing," "somewhat willing," "willing," "reluctantly willing," and "unwilling." Optionally, for each adjustable charging station, this embodiment can obtain the controllability willingness level of the adjustable charging station through surveys, or by analyzing the historical regulated load data of the adjustable charging station to determine the controllability willingness level, etc.

[0065] Electricity price data represents the charging service fees for adjustable charging stations. Optionally, this embodiment can obtain electricity price data for adjustable charging stations at different time periods through surveys.

[0066] Specifically, when it is determined that the charging load of controllable charging stations in the distribution network needs to be regulated, historical load data, regulation willingness level, and electricity price data of the controllable charging stations in the distribution network can be obtained. Determining the need to regulate the charging load of controllable charging stations in the distribution network can be based on detecting an overload of the total distribution network load, etc.

[0067] S120, based on the historical load data, controllability intention level, and electricity price data of the controllable charging station, determines the controllability heat map of the controllable charging station.

[0068] In this embodiment, the adjustable force heat map can be used to characterize the flexibility of the adjustable charging station, that is, the range within which the charging load of the adjustable charging station can be flexibly adjusted within a certain time period; furthermore, the larger the adjustable range of the charging load, the stronger the flexibility of the adjustable charging station.

[0069] One possible approach is to input the historical load data, control intention level, and electricity price data of each controllable charging station in the distribution network into a pre-trained heat map determination model, and then output a heat map of the controllability of the controllable charging station from the model.

[0070] S130 regulates the charging load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station and the line operation status of the distribution network.

[0071] Optionally, after determining the heat map of the controllability of the controllable charging station in the distribution network, the controllable load of the controllable charging station can be determined based on the heat map of the controllability of the controllable charging station and the line operation status of the distribution network, and then the charging load of the controllable charging station can be controlled according to the determined controllable load.

[0072] The aforementioned load regulation method combines historical load data, regulation willingness levels, and electricity price data of adjustable charging stations in the distribution network to determine a heat map of the adjustable charging station's controllability. Then, by combining this heat map with the distribution network's line operation status, the charging load of the adjustable charging station is regulated. This scheme, in the scenario of regulating the charging load of adjustable charging stations, considers not only the adjustable charging station's own data but also the actual operation of the distribution network, i.e., the line operation status. In other words, by analyzing multiple dimensions, the regulation of the charging load becomes more rational.

[0073] For example, based on the above embodiments, S120 is further explained in detail, providing an optional method for determining the controllability heat map of an adjustable charging station. For example... Figure 2 As shown, the specific steps may include:

[0074] S210, Based on the historical load data of the adjustable charging station, determine the average load characteristic curve of the adjustable charging station.

[0075] In this embodiment, the average load characteristic curve represents the average level of charging load at the adjustable charging station over a period of time (e.g., 30 days). Specifically, the average load characteristic curve is essentially a curve relating time and charging load, for example... Figure 3 The figure shows the average load characteristic curve of a certain adjustable charging station.

[0076] One possible approach is to determine the average load of each adjustable charging station based on its historical load data, and then determine its average load characteristic curve based on this average load. For example, historical load data refers to the charging load data of the adjustable charging station over a period of time prior to the current time (e.g., 30 days). The daily charging load data forms a raw load curve, representing the relationship between time and charging load. Then, by averaging the load at the same time within those 30 days, the average load of the adjustable charging station at different times can be obtained. Finally, based on the average load of the adjustable charging station at different times, the average load characteristic curve of the adjustable charging station can be plotted.

[0077] To make the obtained average load characteristic curve smoother, after determining the average load of the adjustable charging station, the basic load characteristic curve of the adjustable charging station can be plotted based on the average load of the adjustable charging station at different times. Then, the plotted basic load characteristic curve is densified and smoothed using a spline interpolation method (such as cubic spline interpolation) to obtain the average load characteristic curve of the adjustable charging station.

[0078] Since historical load data obtained in real-world scenarios may contain data indicating abnormal charging loads, to ensure a more accurate average load characteristic curve, an alternative approach is to identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, process these values ​​to obtain processed historical load data, determine the average load of the adjustable charging station based on the processed historical load data, and finally determine the average load characteristic curve of the adjustable charging station based on the average load of the adjustable charging station.

[0079] Specifically, the raw load curves from the past 30 days can be analyzed to identify abnormal load curves with missing and / or outlier values. The remaining raw load curves are then considered normal load curves. Based on the load data from the normal load curves, the missing and / or outlier values ​​in the abnormal load curves are processed. The normal load curves and the processed abnormal load curves are then combined to form the processed historical load data. Subsequently, the average load characteristic curve of the adjustable charging station can be determined based on the processed historical load data. In other words, the average load of the adjustable charging station is determined based on the processed historical load data; and the average load characteristic curve of the adjustable charging station is determined based on the average load of the adjustable charging station.

[0080] S220 uses different control ratios to reduce the reference load per hour in the average load characteristic curve of the adjustable charging station, thereby obtaining the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios.

[0081] The control ratio, also known as the reduction ratio, is the proportion by which the charging load of the adjustable charging station is controlled. The control ratio can be 10%, 20%, 40%, 60%, and 120%, etc., and this embodiment does not limit it.

[0082] Optionally, the reference load within an hour can be the maximum load within an hour; furthermore, to ensure the accuracy of subsequent power loss calculation, for each hour, in this embodiment, the curve segment corresponding to that hour in the average load characteristic curve can be divided into multiple sub-segments based on the sampling points within that hour, and the maximum load in each sub-segment can be used as a reference load.

[0083] Furthermore, after determining the reference load within each hour, different control ratios can be used to reduce the reference load within each hour, thus obtaining the target load corresponding to the reference load within each hour for the adjustable charging station under different control ratios. The target load is the load after reduction or control.

[0084] For example, for each hour, pro is used to represent the control ratio, P i，max Let represent the maximum load in the i-th sub-segment within that hour, i.e., the reference load. Then, the target load P corresponding to the reference load within that hour is... i，req It can be represented as: P i，req = (1-pro)*P i，max .

[0085] S230: Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios, determine the power loss per hour of the adjustable charging station under different control ratios.

[0086] Optionally, for each reference load corresponding to the target load in each hour, a target load reference line is plotted based on the target load corresponding to the reference load. When the control ratio is greater than 0 and less than 1, the intersection point of the target load reference line and the sub-segment corresponding to the reference load in the average load characteristic curve is determined. The integration interval is determined based on the time corresponding to the determined intersection point. The target load corresponding to the reference load is integrated within the determined integration interval to obtain the power loss of the target load corresponding to the reference load.

[0087] When the control ratio is equal to or greater than 1, the target load reference line and the sub-segment of the average load characteristic curve corresponding to the reference load have no intersection. At this time, the time interval of the sub-segment of the average load characteristic curve corresponding to the reference load is taken as the integration interval. By integrating the target load corresponding to the reference load within the integration interval, the power loss of the target load corresponding to the reference load can be obtained.

[0088] Furthermore, for each hour at each controllability ratio of an adjustable charging station, the sum of the power losses of the target loads corresponding to each reference load within that hour at that controllability ratio can be taken as the power loss for that hour at that controllability ratio. This allows us to determine the hourly power loss of the adjustable charging station at different controllability ratios. For example... Figure 4 The diagram shows the hourly power loss of a certain adjustable charging station under two different control ratios.

[0089] S240, based on the hourly power loss of the adjustable charging station under different control ratios, the controllability level of the adjustable charging station and electricity price data, determines the heat map of the controllability of the adjustable charging station.

[0090] One possible approach is to, for each adjustable charging station in the distribution network, after determining the hourly power loss of the adjustable charging station under different control ratios, input the hourly power loss of the adjustable charging station under different control ratios, the control willingness level, and the electricity price data into a pre-trained heat map determination model, and then output the controllability heat map of the adjustable charging station from the model.

[0091] It is understood that in this embodiment, the target load of the adjustable charging station per hour under different control ratios is used to determine the power loss of the adjustable charging station per hour under different control ratios. Then, based on the power loss of the adjustable charging station per hour under different control ratios, the controllability level and electricity price data are used to determine the controllability heat map of the adjustable charging station, which can make the determined controllability heat map more accurate.

[0092] Based on the above embodiments, the process of determining the adjustable power heat map of the adjustable charging station (i.e., S120) is further refined. Optionally, such as Figure 5 As shown, as an optional embodiment of this application, it can be implemented through the following steps:

[0093] S510 determines the average load characteristic curve of the adjustable charging station based on historical load data of the adjustable charging station.

[0094] S520 uses different control ratios to reduce the reference load per hour in the average load characteristic curve of the adjustable charging station, thereby obtaining the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios.

[0095] S530 determines the hourly power loss of the adjustable charging station under different control ratios based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load of the adjustable charging station per hour under different control ratios.

[0096] S540 determines the subsidy cost corresponding to the adjustable charging station based on the adjustable charging station's adjustment willingness level and electricity price data.

[0097] In this embodiment, the subsidy cost is the cost of subsidizing the adjustable charging station for regulating the charging load.

[0098] Specifically, for each adjustable charging station, a cost coefficient (or price coefficient) can be determined based on its adjustment willingness level. The product of the cost coefficient and the electricity price data of the adjustable charging station is used as the subsidy cost corresponding to that station. Optionally, different adjustment willingness levels correspond to different cost coefficients; furthermore, the adjustment willingness level and the cost coefficient are inversely proportional, i.e., the higher the adjustment willingness level, the lower the cost coefficient; conversely, the lower the adjustment willingness level, the higher the cost coefficient.

[0099] S550 determines the hourly control cost of the adjustable charging station under different control ratios based on the subsidy cost corresponding to the adjustable charging station and the hourly power loss of the adjustable charging station under different control ratios.

[0100] The so-called regulation cost refers to the cost required to regulate the charging load of adjustable charging stations.

[0101] Specifically, for each adjustable charging station, the product of the subsidy cost corresponding to that adjustable charging station and the hourly power loss of that adjustable charging station under different control ratios can be used as the control cost per hour under different control ratios. Optionally, the control cost is inversely proportional to the control willingness level, that is, the lower the control willingness level, the higher the control cost; conversely, the higher the control willingness level, the lower the control cost.

[0102] S560 determines the heat map of the controllability of the adjustable charging station based on the hourly control cost of the adjustable charging station under different control ratios.

[0103] Specifically, for each adjustable charging station, after determining the hourly control cost of the station at different control ratios, a heatmap of the adjustable power of the station can be drawn based on the hourly control cost at different control ratios. For example... Figure 6 The image shows a heatmap of the controllability of a certain adjustable charging station. The value in each cell represents the control cost required to adjust the adjustable charging station according to a certain control ratio within a certain hour.

[0104] It is understandable that, in the process of determining the controllability heat map of the controllable charging station, this embodiment further improves the accuracy of the determination of the controllability heat map by introducing the controllability cost of the controllable charging station.

[0105] Figure 7 This is a flowchart illustrating the load control method in another embodiment. Based on the above embodiments, this embodiment further refines the load control process of the adjustable charging station. For example... Figure 7 As shown, the specific steps may include:

[0106] S710 acquires historical load data, control intention level, and electricity price data of controllable charging stations in the distribution network.

[0107] S720 determines the controllability heat map of the controllable charging station based on historical load data, controllability intention level, and electricity price data.

[0108] S730 determines the loads and time periods to be regulated in the distribution network based on the line operation status of the distribution network.

[0109] In this embodiment, the load to be regulated is the total load in the distribution network that needs to be regulated or reduced; the time period to be regulated is the time period during which load regulation needs to be carried out, such as the time period from 4:00 to 5:00 in the morning.

[0110] Optionally, the operation status of the distribution network lines can be analyzed based on pre-set analysis logic to determine the loads and time periods to be regulated in the distribution network.

[0111] S740 regulates the charging load of the adjustable charging station based on the heat map of the adjustable power of the adjustable charging station, as well as the load to be regulated and the time period to be regulated in the distribution network.

[0112] One possible approach is to extract the controllable cost and controllable load of each adjustable charging station under different control ratios during the controllable period from its controllability heatmap. Then, based on the controllable load of the distribution network and the controllable load and control cost of each adjustable charging station under different control ratios during the controllable period, the controllable load of each adjustable charging station in the distribution network is determined. The charging load of the adjustable charging stations is then controlled according to their controllable loads. Specifically, the load of the adjustable charging station during the controllable period can be extracted from its average load characteristic curve, and the controllable load under different control ratios during the controllable period can be obtained by subtracting the extracted load from the target load of the adjustable charging station under different control ratios during the controllable period.

[0113] Specifically, the sum of the controlled loads of each adjustable charging station in the distribution network under the same or different control ratios during the controllable period, as well as the sum of the control costs, are calculated. The control scheme with the minimum sum of control costs and a sum of controlled loads greater than the controllable load of the distribution network is selected. The control scheme includes the controlled load of each adjustable charging station under its corresponding control ratio. Further, the controlled load of each adjustable charging station under its corresponding control ratio in the control scheme is taken as the adjustable load of each adjustable charging station during the controllable period. Then, the charging load of the adjustable charging stations is controlled based on the adjustable load of each adjustable charging station.

[0114] It is understandable that in this embodiment, in the scenario of regulating the charging load of the adjustable charging station, by fully considering the line operation status of the distribution network and the heat map of the adjustable power of the adjustable charging station, a more reasonable regulation of the charging load can be achieved with the lowest regulation cost.

[0115] In one embodiment, the above-mentioned S740 is further refined. Optionally, regulating the charging load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station, and the load and time period to be regulated in the distribution network, can be achieved by determining the adjustable load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station, the network topology of the adjustable charging station in the distribution network, the average load characteristic curve of the adjustable charging station, and the load and time period to be regulated in the distribution network; and regulating the charging load of the adjustable charging station based on the adjustable load of the adjustable charging station.

[0116] Specifically, for each adjustable charging station, the control cost of the adjustable charging station under different control ratios during the controllable period is extracted from the heat map of the adjustable power of the adjustable charging station, and the control load of the adjustable charging station under different control ratios during the controllable period is obtained.

[0117] For each adjustable charging station, its average load characteristic curve can be analyzed to determine the peak load situation during the controllable period. Then, based on the peak load situation of each adjustable charging station during the controllable period, the load characteristic priority of each station can be determined. The peak load situation can include, but is not limited to, no peak load, a single peak load, and two peak loads. For example, the priority of adjustable charging stations with two peak loads can be set higher than that with a single peak load, and the priority of adjustable charging stations with a single peak load can be set higher than that with no peak load.

[0118] For each adjustable charging station, its location within a multi-node network can be determined based on its network topology within the distribution network. Furthermore, the network topology priority of each adjustable charging station can be determined based on its location within a multi-node network. The "multi-node location" includes both locations not within a multi-node network and locations within a multi-node network. Further, when "multi-node location" includes locations within a multi-node network, the number of nodes can also be considered. For example, the priority of adjustable charging stations located within a multi-node network can be set higher than that of adjustable charging stations not located within a multi-node network. Moreover, for any two adjustable charging stations located within a multi-node network, the adjustable charging station with more nodes can be given a higher priority than the one with fewer nodes, and so on.

[0119] Furthermore, the controllable load of each controllable charging station can be determined based on the controllable load and control cost of each controllable charging station under different control ratios during the controllable period in the distribution network, the load characteristic priority of each controllable charging station, the network topology priority of each controllable charging station, and the controllable load of the distribution network; and the charging load of each controllable charging station can be controlled based on the controllable load of each controllable charging station.

[0120] For example, the controllable load and control cost of each controllable charging station in the distribution network under different control ratios during the controllable period, the load characteristic priority of each controllable charging station, the network topology priority of each controllable charging station, and the controllable load of the distribution network can be input into the controllable load determination model. The model outputs a control scheme, and then the controllable load of each controllable charging station is determined based on the control scheme. The charging load of each controllable charging station is then controlled according to the controllable load of each controllable charging station.

[0121] For example, based on the above embodiments, this embodiment provides an example of regulating the charging load of an adjustable charging station. For instance... Figure 8A As shown, five electric vehicle charging stations, A, B, C, D, and E, are connected to the power distribution network. Specifically, A is connected to node 12, B to node 29, C to node 23, D to node 5, and E to node 21.

[0122] Depend on Figure 8B It is evident that after the five electric vehicle charging stations were connected to the power distribution network, without any control measures, the active power load of the power distribution network repeatedly exceeded limits, posing a significant threat to the safe operation of the power distribution network. Among these, Figure 8B In this diagram, L1 represents the rated load line of the distribution network, and L2 represents the daily load curve of the output load (or output power) in the distribution network.

[0123] Therefore, it is necessary to regulate the charging load of the five electric vehicle charging stations in the distribution network. Assuming that the total load of the distribution network exceeds the limit between 4:45 and 5:45, and the load peak occurs at 5:30 with a peak power of 8.5022MW, it is necessary to reduce the total load of the five charging stations by 1002.2kW.

[0124] Specifically, for each electric vehicle charging station, based on its historical load data, an average load characteristic curve (e.g., ...) can be constructed for that charging station. Figure 8CThe figure shows the average load characteristic curves of five electric vehicle charging stations (the vertical axis represents the load). By using different control ratios, the reference load per hour in the average load characteristic curve of each electric vehicle charging station is reduced, and the target load corresponding to the reference load per hour under different control ratios can be obtained. Based on the average load characteristic curve of the electric vehicle charging station, the target load corresponding to the reference load per hour under different control ratios, the control willingness level of the electric vehicle charging station and the electricity price data, the control cost per hour of the electric vehicle charging station under different control ratios can be determined. Therefore, based on the control cost per hour of the electric vehicle charging station under different control ratios, a heat map of the controllability of the electric vehicle charging station can be determined.

[0125] Because the total load peaked around 5:30, and due to Figure 8C It can be seen that the three electric vehicle charging stations A, C, and D have single or double peaks at this time. Therefore, the charging load of the three electric vehicle charging stations A, C, and D should be adjusted first.

[0126] When an electric vehicle (EV) charging station is connected to the power distribution network, it will affect the voltage at the end nodes of its branch. Therefore, if an EV charging station has branch nodes after it, it means that the charging station will affect the voltage at the ends of multiple branches, and the charging load of that EV charging station should be prioritized for load reduction. If two EV charging stations have no branch nodes after them, the EV charging station farther from the end may cause a larger voltage drop, so the load of the EV charging station farther from the end should be prioritized for load reduction. In this example, by Figure 8A It can be seen that there are 6 branch nodes after D, A is 6 nodes away from the end, B is 4 nodes away from the end, E is 1 node away from the end, and C is located at the end of the branch. Therefore, the network topology priority order of the five electric vehicle charging stations should be: D, A, B, E, C.

[0127] Furthermore, after determining the load characteristic priority and network topology priority of the five electric vehicle charging stations A, B, C, D and E, the control scheme with the lowest control cost and the sum of the controlled loads being greater than the controllable load of the distribution network can be selected by combining the controllability heat map of the five electric vehicle charging stations.

[0128] For example, comprehensive analysis determines that load A will be reduced by 300kW, B by 150kW, C by 200kW, D by 200kW, and E by 200kW, for a total reduction of 1050kW, which can eliminate peak loads exceeding limits. The adjusted load is as follows: Figure 8B As shown in L3, after regulating the charging load, the overload of the distribution network was successfully reduced to below the rated load.

[0129] Furthermore, the proportion of heavy load time before regulation was 20%, while after regulation, the proportion of heavy load time decreased to 14%. Before regulation, the longest heavy load time occurred between 4:00 and 6:00, lasting approximately 1.5 hours; after regulation, the heavy load time during this period decreased to approximately 52 minutes, and the peak heavy load during this period decreased by 16%, ensuring the safe and stable operation of the distribution network.

[0130] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0131] Based on the same inventive concept, this application also provides a load control device for implementing the load control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more load control device embodiments provided below can be found in the limitations of the load control method described above, and will not be repeated here.

[0132] In one embodiment, such as Figure 9 As shown, a load control device 1 is provided, comprising: a data acquisition module 10, a heat map determination module 20, and a control module 30, wherein:

[0133] Data acquisition module 10 is used to acquire historical load data, control intention level and electricity price data of controllable charging stations in the distribution network;

[0134] The heat map determination module 20 is used to determine the heat map of the controllability of the controllable charging station based on the historical load data, control intention level and electricity price data of the controllable charging station.

[0135] The control module 30 is used to control the charging load of the controllable charging station based on the controllability heat map of the controllable charging station and the line operation status of the power distribution network.

[0136] In one embodiment, such as Figure 10 As shown, above Figure 9 The heatmap determination module 20 may include:

[0137] Curve determination unit 21 is used to determine the average load characteristic curve of the adjustable charging station based on the historical load data of the adjustable charging station.

[0138] The target determination unit 22 is used to reduce the reference load per hour in the average load characteristic curve of the adjustable charging station by using different control ratios, so as to obtain the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios.

[0139] The loss determination unit 23 is used to determine the hourly power loss of the adjustable charging station under different control ratios based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load of the adjustable charging station under different control ratios.

[0140] The heat map determination unit 24 is used to determine the controllability heat map of the controllable charging station based on the hourly power loss of the controllable charging station under different control ratios, the controllability intention level of the controllable charging station and electricity price data.

[0141] In one embodiment, the curve determining unit 21 is specifically used for:

[0142] Identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, and process the missing and / or outlier values ​​to obtain processed historical load data;

[0143] Based on the processed historical load data, determine the average load for adjustable charging;

[0144] The average load characteristic curve of the adjustable charging station is determined based on the average load of the adjustable charging station.

[0145] In one embodiment, the heat map determining unit 24 is specifically used for:

[0146] Based on the level of regulatory willingness of the adjustable charging station and the electricity price data, determine the corresponding subsidy cost for the adjustable charging station;

[0147] Based on the subsidy cost corresponding to the adjustable charging station and the hourly power loss of the adjustable charging station under different control ratios, determine the hourly control cost of the adjustable charging station under different control ratios.

[0148] Based on the hourly control cost of the adjustable charging station under different control ratios, a heat map of the controllability of the adjustable charging station is determined.

[0149] In one embodiment, such as Figure 11 As shown, above Figure 9 The control module 30 may include:

[0150] The data determination unit 31 is used to determine the load to be regulated and the time period to be regulated in the distribution network based on the line operation status of the distribution network.

[0151] The control unit 32 is used to control the charging load of the controllable charging station based on the controllability heat map of the controllability of the controllable charging station, as well as the load to be controlled and the time period to be controlled in the distribution network.

[0152] In one embodiment, the control unit 32 can be specifically used for:

[0153] Based on the heat map of the controllability of the controllable charging station, the network topology of the controllable charging station in the distribution network, the average load characteristic curve of the controllable charging station, and the load and time period to be controlled in the distribution network, the controllable load of the controllable charging station is determined.

[0154] The charging load of the adjustable charging station is adjusted according to its adjustable load.

[0155] Each module in the aforementioned load control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0156] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 12 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores data such as the controllability heat map of the controllable charging station, electricity price data, and control intention levels. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements a load control method.

[0157] Those skilled in the art will understand that Figure 12 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0158] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0159] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0160] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging stations, a heat map of the controllability of the adjustable charging stations is determined.

[0161] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the distribution network, the charging load of the adjustable charging station is regulated.

[0162] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the historical load data, controllability intention level, and electricity price data of the controllable charging station, the following steps can be implemented:

[0163] Based on historical load data of the adjustable charging station, the average load characteristic curve of the adjustable charging station is determined. Using different control ratios, the reference load within each hour of the average load characteristic curve of the adjustable charging station is reduced to obtain the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios. Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios, the hourly power loss of the adjustable charging station under different control ratios is determined. Based on the hourly power loss of the adjustable charging station under different control ratios, the controllability intention level of the adjustable charging station, and electricity price data, a heat map of the controllability of the adjustable charging station is determined.

[0164] In one embodiment, when the processor executes the logic in the computer program to determine the average load characteristic curve of the adjustable charging station based on historical load data of the adjustable charging station, the following steps can be implemented:

[0165] Identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, and process the missing and / or outlier values ​​to obtain processed historical load data; determine the average load of the adjustable charging station based on the processed historical load data; and determine the average load characteristic curve of the adjustable charging station based on the average load of the adjustable charging station.

[0166] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the hourly power loss of the controllable charging station under different control ratios, the controllability willingness level of the controllable charging station, and electricity price data, the following steps can be implemented:

[0167] Based on the controllable charging station's controllability intention level and electricity price data, determine the corresponding subsidy cost for the controllable charging station; based on the corresponding subsidy cost for the controllable charging station and the hourly power loss of the controllable charging station under different control ratios, determine the hourly controllability cost of the controllable charging station under different control ratios; based on the hourly controllability cost of the controllable charging station under different control ratios, determine the controllability heat map of the controllable charging station.

[0168] In one embodiment, when the processor executes the logic in the computer program that regulates the charging load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station and the line operation status of the distribution network, the following steps can be implemented:

[0169] Based on the operating status of the distribution network lines, determine the loads and time periods to be regulated in the distribution network; based on the heat map of the controllability of the controllable charging stations, as well as the loads and time periods to be regulated in the distribution network, regulate the charging load of the controllable charging stations.

[0170] In one embodiment, when the processor executes the logic in the computer program to regulate the charging load of the adjustable charging station based on the heat map of the adjustable charging station's adjustable capacity, as well as the load to be regulated and the time period to be regulated in the distribution network, the following steps can be implemented:

[0171] Based on the heat map of the controllability of the controllable charging station, the network topology of the controllable charging station in the distribution network, the average load characteristic curve of the controllable charging station, and the load and time period to be controlled in the distribution network, the controllable load of the controllable charging station is determined; and the charging load of the controllable charging station is controlled according to the controllable load of the controllable charging station.

[0172] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0173] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0174] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging stations, a heat map of the controllability of the adjustable charging stations is determined.

[0175] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the distribution network, the charging load of the adjustable charging station is regulated.

[0176] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the historical load data, controllability intention level, and electricity price data of the controllable charging station, the following steps can be implemented:

[0177] Based on historical load data of the adjustable charging station, the average load characteristic curve of the adjustable charging station is determined. Using different control ratios, the reference load within each hour of the average load characteristic curve of the adjustable charging station is reduced to obtain the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios. Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios, the hourly power loss of the adjustable charging station under different control ratios is determined. Based on the hourly power loss of the adjustable charging station under different control ratios, the controllability intention level of the adjustable charging station, and electricity price data, a heat map of the controllability of the adjustable charging station is determined.

[0178] In one embodiment, when the processor executes the logic in the computer program to determine the average load characteristic curve of the adjustable charging station based on historical load data of the adjustable charging station, the following steps can be implemented:

[0179] Identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, and process the missing and / or outlier values ​​to obtain processed historical load data; determine the average load of the adjustable charging station based on the processed historical load data; and determine the average load characteristic curve of the adjustable charging station based on the average load of the adjustable charging station.

[0180] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the hourly power loss of the controllable charging station under different control ratios, the controllability willingness level of the controllable charging station, and electricity price data, the following steps can be implemented:

[0181] Based on the controllable charging station's controllability intention level and electricity price data, determine the corresponding subsidy cost for the controllable charging station; based on the corresponding subsidy cost for the controllable charging station and the hourly power loss of the controllable charging station under different control ratios, determine the hourly controllability cost of the controllable charging station under different control ratios; based on the hourly controllability cost of the controllable charging station under different control ratios, determine the controllability heat map of the controllable charging station.

[0182] In one embodiment, when the processor executes the logic in the computer program that regulates the charging load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station and the line operation status of the distribution network, the following steps can be implemented:

[0183] Based on the operating status of the distribution network lines, determine the loads and time periods to be regulated in the distribution network; based on the heat map of the controllability of the controllable charging stations, as well as the loads and time periods to be regulated in the distribution network, regulate the charging load of the controllable charging stations.

[0184] In one embodiment, when the processor executes the logic in the computer program to regulate the charging load of the adjustable charging station based on the heat map of the adjustable charging station's adjustable capacity, as well as the load to be regulated and the time period to be regulated in the distribution network, the following steps can be implemented:

[0185] Based on the heat map of the controllability of the controllable charging station, the network topology of the controllable charging station in the distribution network, the average load characteristic curve of the controllable charging station, and the load and time period to be controlled in the distribution network, the controllable load of the controllable charging station is determined; and the charging load of the controllable charging station is controlled according to the controllable load of the controllable charging station.

[0186] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0187] Acquire historical load data, control intention levels, and electricity price data of controllable charging stations in the power distribution network;

[0188] Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging stations, a heat map of the controllability of the adjustable charging stations is determined.

[0189] Based on the heat map of the adjustable power of the adjustable charging station and the line operation status of the distribution network, the charging load of the adjustable charging station is regulated.

[0190] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the historical load data, controllability intention level, and electricity price data of the controllable charging station, the following steps can be implemented:

[0191] Based on historical load data of the adjustable charging station, the average load characteristic curve of the adjustable charging station is determined. Using different control ratios, the reference load within each hour of the average load characteristic curve of the adjustable charging station is reduced to obtain the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios. Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load within each hour of the adjustable charging station under different control ratios, the hourly power loss of the adjustable charging station under different control ratios is determined. Based on the hourly power loss of the adjustable charging station under different control ratios, the controllability intention level of the adjustable charging station, and electricity price data, a heat map of the controllability of the adjustable charging station is determined.

[0192] In one embodiment, when the processor executes the logic in the computer program to determine the average load characteristic curve of the adjustable charging station based on historical load data of the adjustable charging station, the following steps can be implemented:

[0193] Identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, and process the missing and / or outlier values ​​to obtain processed historical load data; determine the average load of the adjustable charging station based on the processed historical load data; and determine the average load characteristic curve of the adjustable charging station based on the average load of the adjustable charging station.

[0194] In one embodiment, when the processor executes the logic in the computer program to determine the controllability heatmap of the controllable charging station based on the hourly power loss of the controllable charging station under different control ratios, the controllability willingness level of the controllable charging station, and electricity price data, the following steps can be implemented:

[0195] Based on the controllable charging station's controllability intention level and electricity price data, determine the corresponding subsidy cost for the controllable charging station; based on the corresponding subsidy cost for the controllable charging station and the hourly power loss of the controllable charging station under different control ratios, determine the hourly controllability cost of the controllable charging station under different control ratios; based on the hourly controllability cost of the controllable charging station under different control ratios, determine the controllability heat map of the controllable charging station.

[0196] In one embodiment, when the processor executes the logic in the computer program that regulates the charging load of the adjustable charging station based on the adjustable power heat map of the adjustable charging station and the line operation status of the distribution network, the following steps can be implemented:

[0197] Based on the operating status of the distribution network lines, determine the loads and time periods to be regulated in the distribution network; based on the heat map of the controllability of the controllable charging stations, as well as the loads and time periods to be regulated in the distribution network, regulate the charging load of the controllable charging stations.

[0198] In one embodiment, when the processor executes the logic in the computer program to regulate the charging load of the adjustable charging station based on the heat map of the adjustable charging station's adjustable capacity, as well as the load to be regulated and the time period to be regulated in the distribution network, the following steps can be implemented:

[0199] Based on the heat map of the controllability of the controllable charging station, the network topology of the controllable charging station in the distribution network, the average load characteristic curve of the controllable charging station, and the load and time period to be controlled in the distribution network, the controllable load of the controllable charging station is determined; and the charging load of the controllable charging station is controlled according to the controllable load of the controllable charging station.

[0200] It should be noted that the data of the adjustable charging stations involved in this application (including but not limited to historical load data, adjustment willingness level and electricity price data of adjustable charging stations) are all data authorized by the user or fully authorized by all parties.

[0201] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0202] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0203] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A load control method, characterized in that, The method includes: Acquire historical load data, controllability willingness level, and electricity price data of controllable charging stations in the distribution network; wherein, the controllability willingness level is the level at which the controllable charging station is willing to have its charging load controlled; Based on the historical load data, controllability intention level, and electricity price data of the adjustable charging station, a heat map of the controllability of the adjustable charging station is determined; Based on the line operation status of the distribution network, determine the load to be regulated and the time period to be regulated in the distribution network; From the heat map of the adjustable power of the adjustable charging station, extract the controllable load and control cost of the adjustable charging station under different control ratios during the controllable period. The average load characteristic curve of the adjustable charging station is analyzed to determine the peak load of the adjustable charging station during the controllable period, and the load characteristic priority of the adjustable charging station is determined based on the peak load of the adjustable charging station during the controllable period. Based on the network topology of the adjustable charging station in the power distribution network, the case where the adjustable charging station is located in multiple nodes is determined, and based on the case where the adjustable charging station is located in multiple nodes, the network topology priority of the adjustable charging station is determined. Based on the controllable load and control cost of the controllable charging station under different control ratios during the controllable time period, the load characteristic priority and network topology priority of the controllable charging station, and the controllable load of the distribution network, the controllable load of the controllable charging station is determined. The charging load of the adjustable charging station is adjusted according to its adjustable load.

2. The method according to claim 1, characterized in that, The step of determining the controllability heatmap of the controllable charging station based on its historical load data, controllability intention level, and electricity price data includes: Based on the historical load data of the adjustable charging station, determine the average load characteristic curve of the adjustable charging station; By using different control ratios, the reference load per hour in the average load characteristic curve of the adjustable charging station is reduced to obtain the target load corresponding to the reference load per hour of the adjustable charging station under different control ratios. Based on the average load characteristic curve of the adjustable charging station and the target load corresponding to the reference load of the adjustable charging station per hour under different control ratios, determine the power loss of the adjustable charging station per hour under different control ratios. Based on the hourly power loss of the adjustable charging station under different control ratios, the controllability level of the adjustable charging station, and electricity price data, a heat map of the controllability of the adjustable charging station is determined.

3. The method according to claim 2, characterized in that, The step of determining the average load characteristic curve of the adjustable charging station based on its historical load data includes: Identify missing and / or outlier values ​​in the historical load data of the adjustable charging station, and process the missing and / or outlier values ​​to obtain processed historical load data; The average load of the adjustable charging is determined based on the processed historical load data; The average load characteristic curve of the adjustable charging station is determined based on the average load of the adjustable charging station.

4. The method according to claim 2, characterized in that, The step of determining the controllability heatmap of the adjustable charging station based on the hourly power loss of the adjustable charging station under different control ratios, the controllability willingness level of the adjustable charging station, and electricity price data includes: Based on the controllable charging station's controllability intention level and electricity price data, determine the corresponding subsidy cost for the controllable charging station; Based on the subsidy cost corresponding to the adjustable charging station and the hourly power loss of the adjustable charging station under different control ratios, the control cost of the adjustable charging station under different control ratios is determined. Based on the hourly control cost of the adjustable charging station under different control ratios, a heat map of the adjustable power of the adjustable charging station is determined.

5. The method according to claim 4, characterized in that, The step of determining the subsidy cost corresponding to the adjustable charging station based on the adjustable charging station's adjustment willingness level and electricity price data includes: The cost coefficient is determined based on the controllability level of the adjustable charging station. The product of the cost coefficient and the electricity price data of the adjustable charging station is taken as the subsidy cost corresponding to the adjustable charging station.

6. The method according to claim 4, characterized in that, The step of determining the hourly control cost of the adjustable charging station at different control ratios based on the subsidy cost corresponding to the adjustable charging station and the hourly power loss of the adjustable charging station at different control ratios includes: The product of the subsidy cost corresponding to the adjustable charging station and the hourly power loss of the adjustable charging station under different control ratios is used as the control cost of the adjustable charging station per hour under different control ratios.

7. A load regulating device, characterized in that, The device includes: The data acquisition module is used to acquire historical load data, control intention level, and electricity price data of controllable charging stations in the distribution network; The heat map determination module is used to determine the controllability heat map of the controllable charging station based on the historical load data, controllability intention level, and electricity price data of the controllable charging station. The control module is used to control the charging load of the controllable charging station based on the controllability heat map of the controllable charging station and the line operation status of the power distribution network. The control module includes: The data determination unit is used to determine the load to be regulated and the time period to be regulated in the distribution network based on the line operation status of the distribution network. The control unit is used to extract the controllable load and control cost of the adjustable charging station under different control ratios during the controllable period from the controllable power heat map of the adjustable charging station; analyze the average load characteristic curve of the adjustable charging station to determine the peak load of the adjustable charging station during the controllable period, and determine the load characteristic priority of the adjustable charging station based on the peak load of the adjustable charging station during the controllable period; determine the location of the adjustable charging station in multiple nodes based on the network topology of the adjustable charging station in the distribution network, and determine the network topology priority of the adjustable charging station based on the location of the adjustable charging station in multiple nodes; determine the controllable load of the adjustable charging station based on the controllable load and control cost of the adjustable charging station under different control ratios during the controllable period, the load characteristic priority and network topology priority of the adjustable charging station, and the load to be controlled in the distribution network; and control the charging load of the adjustable charging station based on the controllable load of the adjustable charging station.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Images