Charging station power distribution method and system, medium and program product

Abstract

The invention provides a charging station power distribution method and system, a medium and a program product, and the method comprises the steps: collecting the electric power of other users except a target station in a target scene region to which the target station belongs in real time, and obtaining the first electric power in each time period; for each time period, according to the first electricity consumption power of the time period and the power supply power output by the power supply system in the target scene area, calculating the second electricity consumption power of the target station in the time period; generating a dynamic load constraint curve according to the second electric power of each time period; in response to a charging request of a target station at a target time, querying the dynamic load constraint curve according to the target time, and obtaining a second electric power corresponding to the target time; and counting the total required power of all the charging piles, and determining the charging power allocated to each charging pile by taking the second electricity utilization power as a constraint. The method realizes dynamic distribution of the charging power and avoids overload of the power grid.

Description

Technical Field

[0001] The present invention relates to the field of charging management technology, and in particular to a charging station power distribution method, system, medium, and program product. Background Art

[0002] With the widespread popularity of new energy electric vehicles, the number of charging stations is increasing rapidly, especially near target scene areas such as residential areas, office areas, shopping malls, etc., the demand for charging facilities has increased significantly. However, the power supply system in many scenes was not designed with the construction needs of electric vehicle charging piles in mind. If the load of the charging piles is not effectively controlled, the power supply system may be overloaded, which will affect the safety of daily electricity use and bring potential risks. Therefore, it is crucial to implement scientific load management and optimization control to ensure that the construction of charging piles does not affect normal electricity use.

[0003] The current mainstream load constraint method sets a day as a fixed time period of peak and off-peak hours, and manually calculates the maximum power consumption of users other than charging stations in the target scene area during peak and off-peak hours, and the maximum power that the power supply system can output, and then sets the maximum total charging power of the charging station. However, in reality, due to the large randomness of changes in user electricity consumption and charging demand, factors such as seasons, weather, and holidays can cause drastic fluctuations in electricity load. This method is based on electricity consumption data in fixed time periods and cannot reflect the dynamic changes in user electricity load. In different time periods, user electricity demand will fluctuate. If only static compliance constraints are relied upon, it may lead to waste of power supply resources in certain periods, and excessive load problems during peak periods. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention proposes a charging station power allocation method, system, medium, and program product. The method realizes dynamic allocation of charging power and avoids overload of the power grid.

[0005] In one aspect, the present invention provides a charging station power allocation method, the method comprising:

[0006] Collect the power consumption of other users in the target scene area of ​​the target station except the target station in real time, and obtain the first power consumption in each time period;

[0007] For each time period, the second power consumption of the target station in the time period is calculated according to the first power consumption in the time period and the power supply power output by the power supply system in the target scene area;

[0008] Generate a dynamic load constraint curve according to the second power consumption of the target station in each time period;

[0009] In response to a charging request from the target station at a target time, querying the dynamic load constraint curve according to the target time to obtain a second power consumption corresponding to the target time;

[0010] The required power of each charging pile that needs to perform the charging operation at the target time is obtained, and the total required power of all charging piles is counted, and the total required power is constrained by the second power consumption to determine the charging power allocated to each charging pile.

[0011] In one embodiment of the present invention, determining the charging power allocated to each charging pile according to the required power of each charging pile and the second power consumption includes:

[0012] Obtain the total required power of all charging piles that need to perform charging operations at the target time, where the total required power is the sum of the required power of each charging pile;

[0013] When the total required power is less than or equal to the second power consumption corresponding to the target time, the charging power allocated to each charging pile is its own required power.

[0014] In one embodiment of the present invention, when the total required power is greater than the second power consumption corresponding to the target time,

[0015] The charging power allocated to each charging pile is: the ratio of the product of the required power of the charging pile itself and the second power consumption to the total required power.

[0016] In one embodiment of the present invention, the method further comprises: obtaining the power supply power output by the power supply system in the target scene area, comprising:

[0017] According to the peak and valley electricity prices of the power grid, a day is divided into five electricity consumption periods: peak period, peak period, flat peak period, valley period, and deep valley period, wherein the electricity prices corresponding to the peak period, peak period, flat peak period, valley period, and deep valley period are reduced in sequence;

[0018] Set the maximum power supply power output by the power supply system in the target scene area in the peak period, peak period, flat peak period, valley period, and deep valley period, respectively, wherein the maximum power supply power output in the peak period, peak period, flat peak period, valley period, and deep valley period decreases in sequence;

[0019] For each time period, determine the power consumption period to which the time period belongs, and determine the power supply power output by the power supply system of the target scene area in the time period based on the maximum power supply power corresponding to the power consumption period.

[0020] In one embodiment of the present invention, the method further comprises: obtaining the power supply power output by the power supply system in the target scene area, comprising:

[0021] Obtain the historical power supply power of the power supply system in the target scene area in each period;

[0022] The current power supply power of the power supply system in the target scenario area is predicted based on the historical power supply power and the current number of users in the target scenario area.

[0023] In one embodiment of the present invention, for each time period, the second power consumption of the target site in the time period is: the difference between the power supply power output by the power supply system of the target scene area and the first power consumption in the time period.

[0024] In one embodiment of the present invention, if the required power of a charging pile is monitored to change, the charging power allocated to each charging pile is dynamically adjusted.

[0025] In one embodiment of the present invention, the target scene area includes one or a combination of residential areas, office areas, shopping malls, transportation hubs, parks, and sports stadiums.

[0026] Another aspect of the present invention further provides a charging station power distribution system, comprising:

[0027] The power collection terminal is used to collect the power consumption of other users in the target scene area of ​​the target station except the target station in real time, and obtain the first power consumption in each time period;

[0028] A power grid end, connected to the power collection end, for obtaining the first power consumption in each time period, and obtaining the power supply power output by the power supply system in the target scene area;

[0029] A cloud platform end, connected to the power grid end, for calculating, for each time period, the second power consumption of the target site in the time period based on the first power consumption in the time period and the power supply power output by the power supply system in the target scene area, and generating a dynamic load constraint curve;

[0030] The centralized control end is connected to the cloud platform end and the charging piles of the target station, and is used to receive a charging request from the target station at a target time, obtain the required power of each charging pile that needs to perform a charging operation at the target time, and calculate the total required power of all charging piles; and request the cloud platform to query the dynamic load constraint curve to obtain the second power consumption corresponding to the target time; and the total required power is constrained by the second power consumption to determine the charging power allocated to each charging pile.

[0031] In one embodiment of the present invention, the centralized control terminal is further used to:

[0032] Calculate the total required power of all charging piles that need to perform charging operations within the target time, where the total required power is the sum of the required power of each charging pile;

[0033] When the total required power is less than or equal to the second power consumption corresponding to the target time, the charging power allocated to each charging pile is the required power of the charging pile itself;

[0034] When the total power requirement is greater than the second power consumption corresponding to the target time,

[0035] The charging power allocated to each charging pile is: the ratio of the product of the required power of the charging pile itself and the second power consumption to the total required power.

[0036] In another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-mentioned charging station power allocation method when executed by a processor.

[0037] In yet another aspect, the present invention provides a computer program product, including a computer program, which implements the steps of the above-mentioned charging station power allocation method when executed by a processor.

[0038] It can be seen from the above scheme that the advantages of the present invention are:

[0039] The power allocation method for charging stations disclosed in the present invention collects the power consumption of other users in the target scene area to which the target station belongs in real time, except for the target station, and summarizes the first power consumption of each time period; based on the first power consumption of each time period and the power supply power output by the power supply system in the target scene area, the second power consumption of the target station in each time period is calculated to generate a dynamic load constraint curve. And finally, in response to the charging request of the target station at the target time, the dynamic load constraint curve is queried according to the target time, the second power consumption corresponding to the target time is obtained, and the charging power allocated to each charging pile is determined based on the second power consumption as a constraint. The method dynamically adjusts the second power consumption of the target station according to the real-time first power consumption of other users except the target station, and then dynamically adjusts the charging power of the charging pile, avoiding the waste of power supply resources in certain time periods and avoiding overload of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of the overall process of a charging station power allocation method disclosed in an embodiment of the present invention;

[0041] Figure 2 The figure is a schematic diagram of the structure of a charging station power distribution system disclosed in one embodiment of the present invention.

[0042] Reference numerals:

[0043] 100: Charging station power distribution system;

[0044] 110: power collection terminal;

[0045] 120: grid terminal;

[0046] 130: cloud platform end;

[0047] 140: centralized control terminal;

[0048] 150: target station;

[0049] 1501: charging pile;

[0050] 1502:Vehicle. DETAILED DESCRIPTION

[0051] It should be noted that, in this application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0052] Without more constraints, an element defined by the phrase "comprising a..." does not exclude the existence of other identical elements in the process, method, article or apparatus comprising the element.

[0053] Please refer to Figure 1 As shown in Figure 1 The figure shows a schematic diagram of the overall process of a charging station power allocation method disclosed in an embodiment of the present invention. The charging station power allocation method specifically includes the following steps:

[0054] Step S1: collect the power consumption of other users in the target scene area to which the target station belongs except the target station in real time, and obtain the first power consumption in each time period.

[0055] In one embodiment, the target scene area includes one or more of residential areas, office areas, shopping malls, transportation hubs, parks, and stadiums. The changes in users' electricity consumption and charging needs in these scenes are highly random, and factors such as seasons, weather, and holidays can cause drastic fluctuations in electricity load. In one embodiment, smart meters, energy management systems and other automated equipment can be used to collect in real time the electricity load data of other users in the target scene area except for the target site, that is, the sum of the electricity power consumed by the user's electrical equipment from the power system in each time period. The electricity power of each user except the target site is summarized to obtain the first electricity power in each time period.

[0056] In one embodiment, a suitable time period division method may be selected in combination with historical power consumption data and actual demand. For example, in one embodiment, a day may be divided into 24 time periods, each of which lasts for 1 hour.

[0057] In one embodiment, the power consumption of other users in the target scene area except the target station is collected in real time. For a period of time in which the change of power consumption needs to be accurately grasped, the period can be further divided into several sub-periods, for example, a sub-period is divided at intervals of every minute, every five minutes or every ten minutes, and a high-frequency collection method is further adopted, such as collecting data every minute, every five minutes or every ten minutes, to collect the power consumption of other users in the target scene area except the target station in real time, and obtain the first power consumption of each period.

[0058] Step S2: For each time period, the second power consumption of the target site in the time period is calculated based on the first power consumption in the time period and the power supply power output by the power supply system in the target scene area.

[0059] In one embodiment, it is also necessary to obtain the power supply power output by the power supply system of the target scene area in each time period, and then use the difference between the power supply power output by the power supply system of the target scene area and the first power consumption in the time period to obtain the second power consumption of the target station in the time period.

[0060] In one embodiment, the power consumption of other users in the target scene area except the target station is collected in real time to obtain a first amount of electricity, and the first amount of electricity is the real-time power consumption. Then, based on the first power consumption, a second power consumption is determined, and the second power consumption is also the real-time power consumption of the target station.

[0061] In one embodiment, the power supply power output by the power supply system in each time period is counted according to the electric meter of the power supply system in the target scene area.

[0062] In one embodiment, a day can be divided into five electricity consumption periods, namely, peak period, peak period, flat peak period, valley period, and deep valley period, according to the peak-valley electricity price of the power grid, wherein the peak period, peak period, flat peak period, and valley period decrease in sequence. Then, the maximum power supply power output by the power supply system in the target scene area is set in the peak period, peak period, flat peak period, and valley period, respectively, wherein the maximum power supply power corresponding to the peak period, peak period, flat peak period, and valley period decreases in sequence. Then, for each time period, determine the power consumption period to which the time period belongs, and determine the power supply power output by the power supply system in the target scene area in the time period according to the maximum power supply power corresponding to the power consumption period.

[0063] In one embodiment, the power supply power of the target scene area power supply system in each period can also be obtained, and then the power supply power of the target scene area power supply system can be predicted according to the historical power supply power and the current number of users in the target scene area. Specifically, the power supply power data of the target scene area power supply system in each period (such as hours) in the past period (such as one year, one quarter or one month) is collected. These data should be as detailed and accurate as possible to provide a reliable basis for subsequent analysis. Analyze the historical power supply data to identify the changing trend of power supply, such as seasonal changes, differences between weekdays and weekends, etc. This helps to understand the cyclical fluctuation law of power supply. And explore the correlation between historical power supply and different factors (such as weather, holidays, economic activity levels, etc.). In particular, pay attention to the relationship between changes in the number of users and changes in power supply to determine whether there is a significant positive or negative correlation between them. Then, according to the characteristics of the historical data and the analysis results, select a suitable prediction model, such as a time series model (such as ARIMA, SARIMA), a regression model (such as linear regression, nonlinear regression) or a machine learning model (such as a neural network, random forest, etc.). Use historical power supply data and corresponding user number data to train the prediction model. The prediction performance of the model is optimized by adjusting the parameters and structure of the model. Finally, the current number of users is used as an input variable and input into the trained prediction model. The model outputs the power supply prediction value of the power supply system in the current target scenario area based on the input number of users and historical data patterns.

[0064] Step S3: Generate a dynamic load constraint curve according to the second power consumption of the target station in the time period.

[0065] In one embodiment, after obtaining the second power consumption of the target station in each time period, a dynamic load constraint curve is generated, and the dynamic load constraint curve is used to characterize the power consumption of the target station in each time period. In one embodiment, the first power quantity and the second power quantity are real-time power quantities, so the dynamic load constraint curve is a real-time constraint curve, which can reflect in real time the change of the second power consumption of the target station with the real-time collected first power consumption of other users except the target station. In this embodiment, as the first power consumption of other users except the target station in the target scene area to which the target station belongs fluctuates, the second power consumption of the station will also be dynamically updated.

[0066] Step S4: In response to the charging request of the target station at the target time, query the dynamic load constraint curve according to the target time to obtain the second power consumption corresponding to the target time.

[0067] In one embodiment, after the dynamic load constraint curve is obtained, when a charging request at the target time is received from the target station, the dynamic load constraint curve is queried according to the target time to obtain the second power consumption corresponding to the target time. For example, the query can be made at each time point to query the time period to which the target time belongs, and then the second power consumption corresponding to the target time is determined, and the second power consumption is the total second power consumption of the target station, and then the charging power of each charging pile that sends the charging request can be adjusted according to the second power consumption as a constraint.

[0068] Step S5: obtaining the required power of each charging pile that needs to perform the charging operation at the target time, calculating the total required power of all charging piles, and determining the charging power allocated to each charging pile based on the total required power and the second power consumption as a constraint.

[0069] In one embodiment, if the target station has N vehicles charging at the target time, the required power for the i-th vehicle is P i , there are N charging piles that need to perform charging operations. For the i-th charging pile (1≤i≤N), its required power is the required power of its corresponding vehicle, that is, P i Then according to the required power P of each charging pile i The second power consumption P of the target station max , determine the charging power P allocated to each charging pile c_i .

[0070] In one embodiment, based on the required power Pi of each charging pile, the total required power P of all charging piles that need to perform charging operations at the target time is calculated. total =P1+P2+...+P nThe total power demand is set to be constrained by the second power consumption, so as to ensure that the second power consumption of the station does not put pressure on the power supply of the cell.

[0071] If the total required power is less than or equal to the second power consumption P corresponding to the target time max , it means that the total power demand meets the second power consumption P max Constraints, then each charging pile can allocate charging power according to its own required power, that is, the charging power P allocated to each charging pile c_i =P i .

[0072] If the total required power is greater than the second power consumption corresponding to the target time, in order to ensure that the second power consumption of the station does not put pressure on the power supply of the community, the charging power P allocated to each charging pile is c_i It must be smaller than its required power P i , the ratio of the product of the required power of the charging pile itself and the second power consumption to the total required power, that is:

[0073]

[0074] This ensures that the target station allocates power to each charging pile in accordance with the respective required power ratio, ensuring that the total charging power does not exceed the second power consumption P max constraints.

[0075] In addition, in one embodiment, if the required power of a charging pile is monitored to change, the charging power allocated to each charging pile is dynamically adjusted.

[0076] In summary, the power allocation method for charging stations disclosed in the present invention acquires the first power consumption in each time period by real-time collecting the power consumption of other users in the target scene area to which the target station belongs except the target station; calculates the second power consumption of the target station in each time period according to the first power consumption in each time period and the power supply power output by the power supply system in the target scene area, and generates a dynamic load constraint curve. And finally, in response to the charging request of the target station at the target time, the dynamic load constraint curve is queried according to the target time, the second power consumption corresponding to the target time is acquired, and the charging power allocated to each charging pile is determined based on the second power consumption as a constraint. The method dynamically adjusts the second power consumption of the target station according to the real-time first power consumption of other users except the target station. When the first power consumption is low, the second power consumption is high, and the charging pile can be charged at full speed at the required power, while the second power consumption is reduced during the peak period of power consumption, reducing the charging power of the charging pile, and even suspending the work of some charging piles to avoid overloading the power grid.

[0077] Correspondingly, corresponding to the above-mentioned charging station power distribution method, the present invention further provides a charging station power distribution system 100, which includes an electric power collection terminal 110, a power grid terminal 120, a cloud platform terminal 130, a centralized control terminal 140, and a target station 150, wherein:

[0078] The power collection terminal 110 is used to collect the power consumption of other users in the target scene area of ​​the target station in real time, except for the target station, and obtain the first power consumption in each time period. In one embodiment, the power collection terminal 110 can be a smart meter, which reads the power consumption of each user's smart meter to obtain the total power consumption of other users in each time period except for the target station, that is, the first power.

[0079] The power grid end 120 is connected to the power collection end 110, and is used to obtain the first power consumption in each time period, and obtain the power supply power output by the power supply system in the target scene area.

[0080] The cloud platform end 130 is connected to the power grid end 120 and the centralized control end 140, and is used to calculate the second power consumption of the target site in each time period based on the first power consumption in the time period and the power supply power output by the power supply system in the target scene area; and to generate a dynamic load constraint curve based on the second power consumption of the target site in the time period.

[0081] The centralized control terminal 140 is connected to the cloud platform terminal 130 and the charging pile 1501 of the target station 150, and the charging pile 1501 is connected to the charging vehicle 1502. When the charging vehicle needs to be charged, it connects to a charging pile, generates a charging request and uploads it to the centralized control terminal. When the centralized control terminal receives the charging request of the target station at the target time, it obtains the required power of each charging pile that needs to perform the charging operation at the target time, and calculates the total required power of all charging piles; and requests the cloud platform to query the dynamic load constraint curve to obtain the second power consumption corresponding to the target time; and the total required power is constrained by the second power consumption, and the charging power allocated to each charging pile is determined, wherein the total required power is the sum of the required power of each charging pile.

[0082] In addition, technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working process of the charging station power distribution system can refer to the corresponding process in the aforementioned charging station power distribution method embodiment, and will not be repeated here.

[0083] In addition, the present invention also proposes an electronic device in another embodiment, comprising: at least one processor; and a memory connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the above-mentioned charging station power allocation method.

[0084] In another embodiment, the present invention further provides a storage medium for storing a method for executing the above Figure 1 A computer program of the charging station power allocation method shown. It should be understood that the storage medium in the embodiment of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus random access memory (DR RAM).

[0085] In addition, the present invention also provides a computer program product in one embodiment, the computer program product includes a computer program, the computer program can be stored in a readable storage medium, and when the computer program is executed by a processor, the computer can perform the above Figure 1 The power distribution method of the charging station is shown.

[0086] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. A charging station power distribution method, characterized in that: Include: Collect the power consumption of other users in the target scene area of ​​the target station except the target station in real time, and obtain the first power consumption in each time period; For each time period, the second power consumption of the target station in the time period is calculated according to the first power consumption in the time period and the power supply power output by the power supply system in the target scene area; Generate a dynamic load constraint curve according to the second power consumption of the target station in each time period; In response to a charging request from the target station at a target time, querying the dynamic load constraint curve according to the target time to obtain a second power consumption corresponding to the target time; The required power of each charging pile that needs to perform the charging operation at the target time is obtained, and the total required power of all charging piles is counted, and the total required power is constrained by the second power consumption to determine the charging power allocated to each charging pile.

2. The method according to claim 1, characterized in that: Determining the charging power allocated to each charging pile includes: When the total required power is less than or equal to the second power consumption corresponding to the target time, the charging power allocated to each charging pile is its own required power, wherein the total required power is the sum of the required powers of each charging pile.

3. The method according to claim 2, characterized in that When the total power requirement is greater than the second power consumption corresponding to the target time, The charging power allocated to each charging pile is: the ratio of the product of the required power of the charging pile itself and the second power consumption to the total required power.

4. The method according to claim 1, characterized in that: Also included: obtaining the power supply power output by the power supply system in the target scene area, including: According to the peak and valley electricity prices of the power grid, a day is divided into five electricity consumption periods: peak period, peak period, flat peak period, valley period, and deep valley period, wherein the electricity prices corresponding to the peak period, peak period, flat peak period, valley period, and deep valley period are reduced in sequence; Set the maximum power supply power output by the power supply system in the target scene area in the peak period, peak period, flat peak period, valley period, and deep valley period, respectively, wherein the maximum power supply power output in the peak period, peak period, flat peak period, valley period, and deep valley period decreases in sequence; For each time period, determine the power consumption period to which the time period belongs, and determine the power supply power output by the power supply system of the target scene area in the time period based on the maximum power supply power corresponding to the power consumption period.

5. The method according to claim 1 or 4, characterized in that: Also included: obtaining the power supply power output by the power supply system in the target scene area, including: Obtain the historical power supply power of the power supply system in the target scene area in each period; The current power supply power of the power supply system in the target scenario area is predicted based on the historical power supply power and the current number of users in the target scenario area.

6. The method according to claim 1, characterized in that For each time period, the second power consumption of the target site in the time period is: the difference between the power supply power output by the power supply system in the target scene area and the first power consumption in the time period.

7. The method according to claim 1, characterized in that If the required power of a charging pile is monitored to change, the charging power allocated to each charging pile is dynamically adjusted.

8. The method according to claim 1, characterized in that: The target scene area includes one or a combination of residential areas, office areas, shopping malls, transportation hubs, parks, and sports stadiums.

9. A charging station power distribution system, characterized in that: Include: The power collection terminal is used to collect the power consumption of other users in the target scene area of ​​the target station except the target station in real time, and obtain the first power consumption in each time period; A power grid end, connected to the power collection end, for obtaining the first power consumption in each time period, and obtaining the power supply power output by the power supply system in the target scene area; A cloud platform end, connected to the power grid end, for calculating, for each time period, the second power consumption of the target site in the time period based on the first power consumption in the time period and the power supply power output by the power supply system in the target scene area, and generating a dynamic load constraint curve; The centralized control end is connected to the cloud platform end and the charging piles of the target station, and is used to receive a charging request from the target station at a target time, obtain the required power of each charging pile that needs to perform a charging operation at the target time, and count the total required power of all charging piles; and request the cloud platform to query the dynamic load constraint curve to obtain the second power consumption corresponding to the target time; and the total required power is constrained by the second power consumption to determine the charging power allocated to each charging pile, wherein the total required power is the sum of the required power of each charging pile.

10. The system according to claim 9, characterized in that The centralized control terminal is also used for: When the total required power is less than or equal to the second power consumption corresponding to the target time, the charging power allocated to each charging pile is the required power of the charging pile itself; When the total power requirement is greater than the second power consumption corresponding to the target time, The charging power allocated to each charging pile is: the ratio of the product of the required power of the charging pile itself and the second power consumption to the total required power.

11. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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