Power scheduling based charging management method and device, equipment and storage medium

Abstract

The application discloses a kind of based on power scheduling's charging management method, device, equipment and storage medium, method includes: obtaining target total power and the historical domestic power of each day in historical time period;Based on the historical domestic power of each day, determine the domestic demand power corresponding to each period;Based on target total power and the domestic demand power corresponding to each period, determine the remaining chargeable power of each period;The remaining chargeable power of each period is dynamically allocated to each charging device, so that the charging device is based on the power of allocation, to the vehicle to be charged is charged.The application calculates the domestic demand power of each period according to the historical domestic power, and then determines the remaining chargeable power of each period, so that the remaining chargeable power is dynamically allocated to each charging device to charge the vehicle to be charged, so as to improve the charging experience of user, improve the influence of electric vehicle charging load on power grid.

Description

Technical Field

[0001] This invention relates to the field of charging management technology, and in particular to a charging management method, apparatus, device, and storage medium based on power scheduling. Background Technology

[0002] With the rapid development of electric vehicles, the planning of charging infrastructure has gradually become a research hotspot. As a crucial aspect of electric vehicle planning, the planning of charging facilities in residential areas has received widespread attention in recent years. However, with the increasing penetration rate of electric vehicles, their charging behavior may not only impact the stable operation of the power grid but also affect the service experience of users.

[0003] On the one hand, there is a contradiction between electric vehicle charging and the safe and stable operation of the power grid. If the disorderly charging of a large number of electric vehicles is not guided, it will cause the problem of "peak-on-peak" in the distribution network. Once the capacity limit of the distribution transformer or feeder is exceeded, it will pose a great threat to the safety of the power grid. Summary of the Invention

[0004] Therefore, it is necessary to provide a charging management method, device, equipment, and storage medium based on power scheduling to address the aforementioned technical problems, aiming to improve the user's charging experience and mitigate the impact of electric vehicle charging load on the power grid.

[0005] This invention provides a charging management method based on power scheduling, comprising:

[0006] Obtain the target total power and the historical residential power consumption for each day within the historical time period;

[0007] Based on the historical residential electricity consumption for each day, determine the residential electricity demand for each time period.

[0008] Based on the target total power and the corresponding residential electricity demand power for each time period, the remaining rechargeable power for each time period is determined;

[0009] The remaining rechargeable power for each time period is dynamically allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0010] Optionally, according to the charging management method based on power scheduling provided by the present invention, determining the residential power demand for each time period based on the historical residential power consumption of each day includes:

[0011] Based on the historical residential electricity consumption for each day, determine the electricity consumption for each time period of each day, the minimum electricity consumption for each day, and the maximum electricity consumption for each day.

[0012] Based on the power consumption at each time period of each day, the minimum power consumption and the maximum power consumption of each day, a power change curve for each day is generated.

[0013] Based on the power change curve for each day, the residential electricity demand for each time period is determined.

[0014] Optionally, according to the charging management method based on power scheduling provided by the present invention, determining the residential electricity demand power corresponding to each time period based on the power change curve of each day includes:

[0015] Determine the first power corresponding to each of the power change curves for any given time period;

[0016] Based on the first power corresponding to any of the time periods, the average power consumption of any of the time periods is calculated;

[0017] Based on the average power consumption during any of the aforementioned time periods and the power change curves for each of the aforementioned time periods, determine the change curve of the quantity threshold;

[0018] Based on the second power corresponding to each of the aforementioned change curves at any given time period, a target change curve is generated;

[0019] Based on the target change curve, the residential electricity demand power corresponding to each time period is determined.

[0020] Optionally, according to a power scheduling-based charging management method provided by the present invention, generating a power variation curve for each day based on the power consumption of each time period in each day, the minimum power consumption of each day, and the maximum power consumption of each day includes:

[0021] Based on the minimum and maximum power consumption for each day, multiple power ranges are obtained for each day.

[0022] Based on the electricity consumption of each time period in the historical residential electricity consumption of each day, the power range corresponding to the electricity consumption of each time period is determined.

[0023] Based on the power range corresponding to the power consumption at each time period of each day, the power change curve for each day is generated.

[0024] Optionally, according to a power scheduling-based charging management method provided by the present invention, the step of dynamically allocating the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes:

[0025] Get all charging requests within the current time period;

[0026] According to the time sequence of each charging request, the remaining rechargeable power corresponding to the current time period is allocated to the charging device corresponding to each charging request, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0027] Optionally, according to a power scheduling-based charging management method provided by the present invention, the step of dynamically allocating the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes:

[0028] Get all charging requests within the current time period;

[0029] According to the preset allocation order, the priority allocation order of the charging devices corresponding to each charging request is determined;

[0030] According to the priority allocation order, the remaining rechargeable power corresponding to the current time period is allocated to each of the charging devices, so that each of the charging devices can charge the vehicle to be charged based on the allocated power.

[0031] Optionally, according to a power scheduling-based charging management method provided by the present invention, the step of dynamically allocating the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes:

[0032] Get all charging requests within the current time period;

[0033] The remaining rechargeable power corresponding to the current time period is evenly distributed to the charging devices corresponding to each charging request, so that the charging devices can charge the vehicles to be charged based on the allocated power.

[0034] The present invention also provides a charging management device based on power scheduling, comprising:

[0035] The acquisition module is used to acquire the target total power and the historical residential power consumption for each day within the historical time period;

[0036] The first determining module is used to determine the residential electricity demand power corresponding to each time period based on the historical residential electricity power of each day;

[0037] The second determining module is used to determine the remaining rechargeable power for each time period based on the target total power and the civilian electricity demand power corresponding to each time period;

[0038] The power allocation module is used to dynamically allocate the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0039] The present invention also provides a computer device, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor implements the above-described power scheduling-based charging management method when executing the computer-readable instructions.

[0040] The present invention also provides one or more readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the power scheduling-based charging management method described above.

[0041] The aforementioned charging management method, apparatus, equipment, and storage medium based on power scheduling include: acquiring the target total power and the historical residential electricity power for each day within a historical time period; determining the residential electricity demand power for each time period based on the historical residential electricity power for each day; determining the remaining rechargeable power for each time period based on the target total power and the residential electricity demand power for each time period; and dynamically allocating the remaining rechargeable power for each time period to various charging devices, so that each charging device can charge the vehicles to be charged based on the allocated power. This achieves the calculation of the residential electricity demand power for each time period based on historical residential electricity power, thereby determining the remaining rechargeable power for each time period, and dynamically allocating the remaining rechargeable power to various charging devices to charge the vehicles to be charged, thereby improving the user's charging experience and mitigating the impact of electric vehicle charging load on the power grid. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating a charging management method based on power scheduling in one embodiment of the present invention;

[0044] Figure 2 This is a system structure diagram provided in an embodiment of the present invention;

[0045] Figure 3 This is a schematic diagram of a power change curve provided in an embodiment of the present invention;

[0046] Figure 4 This is a schematic diagram of a charging management device based on power scheduling in one embodiment of the present invention;

[0047] Figure 5 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] The terminology used in one or more embodiments of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of the invention. The singular forms “a,” “the,” and “the” used in one or more embodiments of the invention are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” used in one or more embodiments of the invention refers to and includes any or all possible combinations of one or more associated listed items.

[0050] In one embodiment, specifically, as Figure 1 As shown, Figure 1 This is a flowchart illustrating a power scheduling-based charging management method according to an embodiment of the present invention. The embodiment of the present invention provides a power scheduling-based charging management method, comprising the following steps:

[0051] Step S11: Obtain the target total power and the historical residential power consumption for each day within the historical time period;

[0052] It should be noted that, referring to Figure 2 , Figure 2 This is a system structure diagram provided by an embodiment of the present invention. The target total power is obtained by connecting to the main electricity meter of the residents, which is the maximum power supported by the main meter. The historical residential electricity power for each day includes the electricity power at each time point of each day. The electricity power is obtained from the electricity power of the sub-meter connected to the residents. The historical time period can be set according to the actual situation, for example, it can be set to 30 days.

[0053] Step S12: Based on the historical residential electricity consumption for each day, determine the residential electricity demand for each time period.

[0054] Specifically, based on the power consumption at various times throughout the day, a power variation curve is generated for each day. Furthermore, since there may be special circumstances where power fluctuations are large at certain times, leading to significant changes in the power variation curve and affecting the accuracy of subsequent calculations of remaining rechargeable power, it is necessary to calculate the average power consumption for any given time period based on the power consumption corresponding to each power variation curve. Then, based on the average power consumption for any given time period, multiple power variation curves with smaller fluctuations compared to the average curve are selected from the various power variation curves. This optimization process is repeated continuously to obtain the target variation curve. The specific optimization process is described in detail in the following embodiments and will not be elaborated here. Finally, using the target variation curve as a benchmark, the residential electricity demand power corresponding to each time period is determined.

[0055] Step S13: Based on the target total power and the corresponding residential electricity demand power for each time period, determine the remaining rechargeable power for each time period;

[0056] Specifically, the remaining rechargeable power for each time period can be obtained by subtracting the target total power from the corresponding residential electricity demand power for each time period.

[0057] Step S14: Dynamically allocate the remaining rechargeable power for each time period to each charging device so that each charging device can charge the vehicle to be charged based on the allocated power.

[0058] It should be noted that the charging equipment is a charging pile. Specifically, when receiving charging requests for the current time period from the charging pile, the remaining rechargeable power corresponding to the current time period is determined. The charging request includes information such as the charging equipment tag, the vehicle tag of the vehicle to be charged, and the charging power required by the vehicle. According to a preset allocation rule, the remaining rechargeable power corresponding to the current time period is dynamically allocated to each charging equipment, so that each charging equipment can charge the vehicle based on the allocated power. Optionally, the preset allocation rule includes rules such as average power allocation rule, first-come-first-served power allocation rule, and specified priority allocation rule. The average power allocation rule means that the remaining rechargeable power is evenly distributed to each charging equipment. The first-come-first-served power allocation rule means that the mechanical energy power is allocated according to the time order of the vehicles to be charged. The specified priority allocation rule means that the power allocation order of each charging equipment is predetermined. It should be noted that the specific process of allocating the remaining rechargeable power to each charging equipment is described in detail in the following embodiments and will not be repeated here.

[0059] In other embodiments, since the remaining rechargeable power may be inconsistent in each time period, the charging time of the vehicle to be charged may span multiple time periods. In this case, the charging power is redistributed again according to the above allocation rules based on the new remaining rechargeable power.

[0060] This invention calculates the demand for residential electricity in each time period based on historical residential power consumption, and then determines the remaining rechargeable power in each time period. The remaining rechargeable power is then dynamically allocated to various charging devices to charge vehicles, thereby improving the user's charging experience and mitigating the impact of electric vehicle charging load on the power grid.

[0061] In one embodiment of the present invention, determining the residential electricity demand for each time period based on the historical residential electricity consumption for each day includes:

[0062] Step S21: Based on the historical residential electricity consumption for each day, determine the electricity consumption for each time period of each day, the minimum electricity consumption for each day, and the maximum electricity consumption for each day.

[0063] Specifically, the following steps are performed for each day's historical residential electricity consumption: The electricity consumption for each time period is determined from the historical residential electricity consumption data, and the minimum and maximum electricity consumption for the day are selected from the historical residential electricity consumption data.

[0064] Step S22: Based on the power consumption of each time period in each day, the minimum power consumption of each day, and the maximum power consumption of each day, generate the power change curve for each day.

[0065] Specifically, based on the minimum and maximum power consumption for each day, multiple power intervals are obtained according to a preset division ratio. Optionally, the preset division ratio and the number of power intervals can be set according to actual conditions. Further, after dividing the power intervals, the power interval corresponding to the power consumption in each time period is determined. Therefore, based on the power interval corresponding to the power consumption in each time period of each day, a power variation curve for each day is generated. The power variation curve can be referenced... Figure 3 , Figure 3 This is a schematic diagram of a power change curve provided in an embodiment of the present invention.

[0066] Step S23: Based on the power change curve for each day, determine the residential electricity demand power for each time period.

[0067] It should be noted that, due to the possibility of significant power fluctuations over a certain period under special circumstances, the power change curve may vary considerably, affecting the accuracy of subsequent calculations of remaining rechargeable power. Therefore, in this embodiment, curve optimization processing is required for each power change curve. Specifically, firstly, the first power corresponding to each power change curve for any given time period is determined. Then, the average power of each first power corresponding to the same time period is calculated to obtain the average power consumption for that time period. Further, based on the average power consumption for any time period, the power change curves with smaller fluctuations compared to the average power consumption for that time period are selected. In other embodiments, the number of optimization operations for averaging to select curves with smaller fluctuations can be set according to the actual situation. Further, based on the second power corresponding to each power change curve for any given time period, the average power for that time period is calculated. Thus, based on the average power for that time period, a target power change curve is generated. Then, using the target power change curve as a standard, the residential electricity demand power for each time period is determined.

[0068] This invention generates a daily power variation curve based on the power consumption at each time period of each day, as well as the minimum and maximum power consumption for that day. The curves are then optimized to obtain a target variation curve. This reduces the likelihood of large fluctuations in the power variation curve due to significant power volatility over a given period. Furthermore, based on the daily power variation curve, the corresponding residential electricity demand for each time period is determined, effectively improving the accuracy of subsequent calculations of remaining rechargeable power. This allows for meeting users' actual needs for charging efficiency and quality while ensuring the stability of the residential power distribution network.

[0069] In one embodiment of the present invention, a power variation curve for each day is generated based on the power consumption at each time period of each day, the minimum power consumption for each day, and the maximum power consumption for each day, including:

[0070] Step S31: Based on the minimum and maximum power consumption of each day, multiple power ranges are obtained for each day.

[0071] Specifically, for any given day, the following steps are performed: Using the minimum and maximum power consumption of that day as the segmentation standard, the power range between the minimum and maximum power consumption is divided into multiple power intervals according to a preset segmentation ratio. For example, the power range between the maximum and minimum power consumption is divided into four power intervals according to a ratio of 1:3:3:3. The first power interval is designated as the "peak" period, occupying 1 / 8 of the power range. The second power interval is designated as the "peak" period, occupying 3 / 8 of the power range. The third power interval is designated as the "average" period, occupying 3 / 8 of the power range. The last power interval is designated as the "valley" period, also occupying 3 / 8 of the power range.

[0072] Step S32: Based on the power consumption of each time period in the historical residential power consumption of each day, determine the power range corresponding to the power consumption of each time period.

[0073] Specifically, after dividing the power range for each day, the system then uses the hourly power consumption data for each time period in historical residential electricity consumption to determine the corresponding power range for each time period. For example, the maximum power consumption within each hour (maximum power consumption can fluctuate, and the maximum power range needs to be sustained for a certain period) is used as the standard. The system then determines whether the maximum power consumption falls within the "peak, plateau, or valley" time period. For instance, if the maximum power consumption for residents is 990KW-1000KW between 10-11 am, and this power output continues for 20 minutes or more during this period, and the 990KW-1000KW power output is classified as a "plateau" time period, then 10-11 am is designated as a "plateau" power output time period. This process continues until the hourly power fluctuations are determined, thus enabling the 24 hours to be categorized into "peak, plateau, and valley" periods.

[0074] Step S33: Generate the power change curve for each day based on the power range corresponding to the power consumption for each time period of each day.

[0075] Specifically, based on the power range corresponding to the power consumption at each time period of each day, a power change curve for each day is formed.

[0076] This invention uses the minimum and maximum power consumption of each day as segmentation standards to divide the day into multiple power intervals. Then, the power consumption of each time period within each day is divided into the corresponding power intervals, generating a power change curve for each day, thereby providing a direct understanding of the power change range of residential electricity consumption each day.

[0077] In one embodiment of the present invention, determining the residential electricity demand for each time period based on the power change curve for each day includes:

[0078] Step S41: Determine the first power corresponding to each power change curve for any given time period;

[0079] Specifically, the first power corresponding to each power change curve for any given time period is determined. For example, historical residential electricity power is collected for each day within 30 days, which will generate 30 power change curves. Then, the first power corresponding to each time period on each of the 30 power change curves is determined.

[0080] Step S42: Calculate the average power consumption for any given time period based on the first power values ​​corresponding to each time period.

[0081] Step S43: Based on the average power consumption and power change curves for any given time period, determine the change curve of the quantity threshold.

[0082] It should be noted that the quantity threshold can be set according to the actual situation, and no specific limit is imposed here. Specifically, based on the average power consumption in any time period, multiple power change curves with smaller changes compared to the average power consumption in any time period are selected from each power change curve. For example, 15 change curves can be selected from 30 power change curves.

[0083] In other embodiments, the number of iterations for the optimal selection of the power change curve can be set according to actual conditions. To reduce fluctuations in the power change curve and its impact on the accuracy of subsequent calculations of remaining rechargeable power, multiple optimizations can be performed to obtain multiple change curves with smaller fluctuations. More specifically: Based on the average power consumption in any given time period, multiple first change curves with smaller fluctuations compared to the average power consumption in any given time period are selected from the power change curves. The power corresponding to each first change curve in any given time period is then determined. The power corresponding to each first change curve in any given time period is then averaged to obtain the second average power consumption in any given time period. Furthermore, based on the second average power consumption in any given time period, multiple second change curves with smaller fluctuations compared to the second average power consumption in any given time period are selected from the first change curves. The power corresponding to each second change curve in any given time period is then averaged to obtain the third average power consumption in any given time period. Based on the third average power consumption in any given time period, the target change curve is generated. For example, if there are 30 power change curves, based on the average power consumption in any time period, 15 change curves are selected from each power change curve. Then, for any time period, the power corresponding to the 15 change curves is selected from the 15 change curves to obtain 7 change curves.

[0084] Step S44: Generate the target change curve based on the second power corresponding to each change curve in any time period;

[0085] Step S45: Based on the target change curve, determine the residential electricity demand power corresponding to each time period.

[0086] Specifically, the second power corresponding to each change curve for any given time period is determined. Then, the second power corresponding to each change curve for any given time period is averaged to obtain the average power consumption for that time period. Based on the average power consumption for any time period, a target change curve is formed. Furthermore, based on the power corresponding to any time period in the target change curve, the residential electricity demand power for each time period is determined.

[0087] This invention provides an embodiment of the invention that performs multiple optimization analyses on each power change curve to obtain the target change curve. This reduces the likelihood of large changes in the power change curve due to large power fluctuations over a certain period, and effectively improves the accuracy of subsequent calculations of the remaining rechargeable power.

[0088] In one embodiment of the present invention, the remaining rechargeable power for each time period is dynamically allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, including:

[0089] Obtain all charging requests for the current time period; according to the time sequence of each charging request, allocate the remaining rechargeable power corresponding to the current time period to the charging device corresponding to each charging request, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0090] It should be noted that the charging request includes information such as the charging device tag, the vehicle tag of the vehicle to be charged, and the charging power required by the vehicle. Specifically, the system acquires all charging requests within the current time period, determines the time sequence of the charging requests, and then allocates the remaining rechargeable power corresponding to the current time period to the charging devices corresponding to the charging device tags, so that each charging device can charge the vehicle based on the allocated power.

[0091] Optionally, in one embodiment, each charging device can first be allocated enough power to start normally (if the remaining rechargeable power is insufficient to be evenly distributed among all devices, then all power is allocated to one device). Power is then allocated in a step-decreasing manner according to the order in which vehicles charge. For example, if the maximum available power is 60kW, and four vehicles with a demand of 30kW each need charging sequentially, the power allocation is 4:3:2:1. The first vehicle receives 24kW, the second receives 18kW, and so on. When another vehicle arrives, the ratio is recalculated, and so on. When the platform detects that a vehicle's demand is less than its allocated power, the remaining power is then evenly distributed among the vehicles with greater demands. This achieves dynamic scheduling and allocation of remaining rechargeable power among charging devices based on charging demand, thus ensuring orderly charging of vehicles.

[0092] In one embodiment of the present invention, the remaining rechargeable power for each time period is dynamically allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, including:

[0093] Obtain all charging requests for the current time period; determine the priority allocation order of the charging devices for each charging request according to the preset allocation order; allocate the remaining rechargeable power corresponding to the current time period to each charging device according to the priority allocation order, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0094] It should be noted that the preset allocation order is set according to the actual situation. Specifically, it obtains each charging request in the current time period, determines the priority allocation order of each charging device corresponding to the charging device tag according to the preset allocation order, and then allocates the remaining charging power corresponding to the current time period to each charging device according to the priority allocation order, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0095] In one embodiment of the present invention, the remaining rechargeable power for each time period is dynamically allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, including:

[0096] Obtain all charging requests for the current time period; distribute the remaining rechargeable power corresponding to the current time period evenly to the charging devices corresponding to each charging request, so that the charging devices can charge the vehicles to be charged based on the allocated power.

[0097] Specifically, when each charging request for the current time period is received, the remaining rechargeable power corresponding to the current time period is evenly distributed to the charging device corresponding to each charging request, so that the charging device can charge the vehicle to be charged based on the allocated power.

[0098] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0099] In one embodiment, a power scheduling-based charging management device is provided, which corresponds one-to-one with the power scheduling-based charging management method described in the above embodiments. For example... Figure 4 As shown, Figure 4 This is a schematic diagram of a power-scheduling-based charging management device according to an embodiment of the present invention. The power-scheduling-based charging management device includes:

[0100] The acquisition module 51 is used to acquire the target total power and the historical residential power consumption for each day within the historical time period;

[0101] The first determining module 52 is used to determine the residential electricity demand power for each time period based on the historical residential electricity power for each day;

[0102] The second determining module 53 is used to determine the remaining rechargeable power for each time period based on the target total power and the corresponding civilian electricity demand power for each time period.

[0103] The power distribution module 54 is used to dynamically distribute the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0104] The first determining module 52 is also used for:

[0105] Based on the historical residential electricity consumption for each day, determine the electricity consumption for each time period of each day, as well as the minimum and maximum electricity consumption for each day;

[0106] Based on the power consumption at each time period of each day, the minimum power consumption and the maximum power consumption of each day, a power change curve for each day is generated.

[0107] Based on the power change curve for each day, determine the corresponding residential electricity demand power for each time period.

[0108] The first determining module 52 is also used for:

[0109] Determine the first power corresponding to each power change curve for any given time period;

[0110] Based on the first power corresponding to any time period, the average power consumption of any time period is calculated.

[0111] Based on the average power consumption and power change curves for any given time period, determine the change curve of the quantity threshold.

[0112] Based on the second power corresponding to each change curve in any time period, generate the target change curve;

[0113] Based on the target change curve, determine the corresponding residential electricity demand power for each time period.

[0114] The first determining module 52 is also used for:

[0115] Based on the minimum and maximum power consumption of each day, multiple power ranges are obtained for each day.

[0116] Based on the electricity consumption of each time period in the historical residential electricity consumption of each day, the power range corresponding to the electricity consumption of each time period is determined.

[0117] Based on the power range corresponding to the power consumption at each time period of each day, a power change curve for each day is generated.

[0118] The power distribution module 54 is also used for:

[0119] Get all charging requests within the current time period;

[0120] According to the time sequence of each charging request, the remaining rechargeable power corresponding to the current time period is allocated to the charging equipment corresponding to each charging request, so that each charging equipment can charge the vehicle to be charged based on the allocated power.

[0121] The power distribution module 54 is also used for:

[0122] Get all charging requests within the current time period;

[0123] According to the preset allocation order, determine the priority allocation order of the charging devices corresponding to each charging request;

[0124] According to the priority allocation order, the remaining rechargeable power corresponding to the current time period is allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power.

[0125] The power distribution module 54 is also used for:

[0126] Get all charging requests within the current time period;

[0127] The remaining rechargeable power corresponding to the current time period is evenly distributed to the charging devices corresponding to each charging request, so that the charging devices can charge the vehicles to be charged based on the allocated power.

[0128] Specific limitations regarding the power scheduling-based charging management device can be found in the limitations of the power scheduling-based charging management method described above, and will not be repeated here. Each module in the aforementioned power scheduling-based charging management device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0129] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 5 As shown, Figure 5This is a schematic diagram of a computer device according to an embodiment of the present invention. The computer device includes a processor, a memory, a network interface, and a database connected via a device bus. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a readable storage medium and internal memory. The readable storage medium stores operating devices, computer-readable instructions, and a database. The internal memory provides an environment for the operation of the operating devices and computer-readable instructions in the readable storage medium. The database of the computer device stores data related to a power-scheduling-based charging management method. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer-readable instructions are executed by the processor, a power-scheduling-based charging management method is implemented. The readable storage medium provided in this embodiment includes non-volatile readable storage media and volatile readable storage media.

[0130] In one embodiment, a computer device is provided, which may be a terminal device, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, and network interface connected via a device bus. The processor provides computing and control capabilities. The memory includes a readable storage medium storing computer-readable instructions. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer-readable instructions implement a power-scheduling-based charging management method. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0131] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, it implements the steps of the charging management method based on power scheduling described above. The method includes: obtaining a target total power and the historical residential electricity power for each day within a historical time period; determining the residential electricity demand power for each time period based on the historical residential electricity power for each day; determining the remaining rechargeable power for each time period based on the target total power and the residential electricity demand power for each time period; and dynamically allocating the remaining rechargeable power for each time period to various charging devices so that each charging device can charge the vehicle to be charged based on the allocated power.

[0132] In one embodiment, a readable storage medium is provided, which stores computer-readable instructions. When executed by a processor, these computer-readable instructions implement the steps of the power-scheduling-based charging management method described above. 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 instructing related hardware using computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0133] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0134] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A charging management method based on power scheduling, characterized in that, include: Obtain the target total power and the historical residential power consumption for each day within the historical time period; Based on the historical residential electricity consumption for each day, determine the residential electricity demand for each time period. Based on the target total power and the corresponding residential electricity demand power for each time period, the remaining rechargeable power for each time period is determined; The remaining rechargeable power for each time period is dynamically allocated to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power. The determination of residential electricity demand for each time period based on the historical residential electricity consumption for each day includes: Based on the historical residential electricity consumption for each day, determine the electricity consumption for each time period of each day, the minimum electricity consumption for each day, and the maximum electricity consumption for each day. Based on the power consumption at each time period of each day, the minimum power consumption and the maximum power consumption of each day, a power change curve for each day is generated. Based on the power change curve for each day, determine the residential electricity demand for each time period. The generation of a daily power variation curve based on the power consumption at each time period of each day, the minimum power consumption, and the maximum power consumption of each day includes: Based on the minimum and maximum power consumption for each day, multiple power ranges are obtained for each day. Based on the electricity consumption of each time period in the historical residential electricity consumption of each day, the power range corresponding to the electricity consumption of each time period is determined. Based on the power range corresponding to the power consumption at each time period of each day, the power change curve for each day is generated.

2. The charging management method based on power scheduling according to claim 1, characterized in that, The determination of residential electricity demand for each time period based on the power change curve for each day includes: Determine the first power corresponding to each of the power change curves for any given time period; Based on the first power corresponding to any of the time periods, the average power consumption of any of the time periods is calculated; Based on the average power consumption during any of the aforementioned time periods and the power change curves for each of the aforementioned time periods, determine the change curve of the quantity threshold; Based on the second power corresponding to each of the aforementioned change curves at any given time period, a target change curve is generated; Based on the target change curve, the residential electricity demand power corresponding to each time period is determined.

3. The charging management method based on power scheduling according to claim 1, characterized in that, The step of dynamically allocating the remaining rechargeable power for each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes: Get all charging requests within the current time period; According to the time sequence of each charging request, the remaining rechargeable power corresponding to the current time period is allocated to the charging device corresponding to each charging request, so that each charging device can charge the vehicle to be charged based on the allocated power.

4. The charging management method based on power scheduling according to claim 1, characterized in that, The step of dynamically allocating the remaining rechargeable power for each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes: Get all charging requests within the current time period; According to the preset allocation order, the priority allocation order of the charging devices corresponding to each charging request is determined; According to the priority allocation order, the remaining rechargeable power corresponding to the current time period is allocated to each of the charging devices, so that each of the charging devices can charge the vehicle to be charged based on the allocated power.

5. The charging management method based on power scheduling according to claim 1, characterized in that, The step of dynamically allocating the remaining rechargeable power for each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power, includes: Get all charging requests within the current time period; The remaining rechargeable power corresponding to the current time period is evenly distributed to the charging devices corresponding to each charging request, so that the charging devices can charge the vehicles to be charged based on the allocated power.

6. A charging management device based on power scheduling, characterized in that, include: The acquisition module is used to acquire the target total power and the historical residential power consumption for each day within the historical time period; The first determining module is used to determine the residential electricity demand power corresponding to each time period based on the historical residential electricity power of each day; The second determining module is used to determine the remaining rechargeable power for each time period based on the target total power and the civilian electricity demand power corresponding to each time period; The power allocation module is used to dynamically allocate the remaining rechargeable power in each time period to each charging device, so that each charging device can charge the vehicle to be charged based on the allocated power. The first determining module is further configured to: Based on the historical residential electricity consumption for each day, determine the electricity consumption for each time period of each day, the minimum electricity consumption for each day, and the maximum electricity consumption for each day. Based on the power consumption at each time period of each day, the minimum power consumption and the maximum power consumption of each day, a power change curve for each day is generated. Based on the power change curve for each day, determine the residential electricity demand for each time period. The first determining module is further configured to: Based on the minimum and maximum power consumption for each day, multiple power ranges are obtained for each day. Based on the electricity consumption of each time period in the historical residential electricity consumption of each day, the power range corresponding to the electricity consumption of each time period is determined. Based on the power range corresponding to the power consumption at each time period of each day, the power change curve for each day is generated.

7. 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 program, it implements the power scheduling-based charging management method as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the power scheduling-based charging management method as described in any one of claims 1 to 5.

Images