Method for participating in power grid emergency response scheduling based on V2G charging pile

Abstract

The invention relates to a method for participating in power grid emergency response scheduling based on a V2G charging pile. Actual operation data of a power grid and charging and discharging associated data of vehicles connected with the charging piles are obtained; determining the power resource supply and demand state of the power grid according to the actual operation data of the power grid; according to the power resource supply and demand state and the charging and discharging associated data of each vehicle, determining the charging and discharging power and scheduling priority of each charging pile; and controlling each charging pile to charge or discharge according to the charging and discharging power and the scheduling priority of each charging pile. According to the scheme, on one hand, the charging and discharging power of each charging pile can be accurately distributed; on the other hand, according to the charging and discharging associated data of the vehicle, the charging pile capable of carrying out resource priority scheduling can be determined; therefore, the power grid emergency response scheduling efficiency can be improved, the reasonability of utilizing the power resources can be improved, and the utilization rate of the power resources is further improved.

Description

Technical Field

[0001] This application relates to the technical field of power grid energy dispatch, and particularly to a method for participating in the emergency response dispatch of the power grid based on V2G charging piles. Background Art

[0002] Vehicle-to-Grid (V2G) charging piles use bidirectional power transmission technology, integrating computer technology, communication facilities, measurement and control units, etc., to achieve two-way energy flow between electric vehicles and the power grid. During the low load period of the power grid, the V2G charging piles charge the electric vehicle batteries with the power from the power grid; during the high load period of the power grid, the electric vehicles can reverse the power in the batteries to the power grid through the V2G charging piles to achieve peak shaving and valley filling.

[0003] In traditional technologies, the charging and discharging of charging piles are usually controlled according to the charging and discharging power limits of the V2G charging piles. This method fails to reasonably dispatch power resources and has the problem of low utilization rate of power resources. Summary of the Invention

[0004] Based on this, it is necessary to provide a method for participating in the emergency response dispatch of the power grid based on V2G charging piles to improve the utilization rate of power resources for the above technical problems.

[0005] In a first aspect, this application provides a method for participating in the emergency response dispatch of the power grid based on V2G charging piles, including:

[0006] Obtain the actual operation data of the power grid and the charging and discharging correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid;

[0007] Determine the power resource supply and demand status of the power grid according to the actual operation data of the power grid;

[0008] Determine the charging and discharging power and dispatch priority of each charging pile according to the power resource supply and demand status and the charging and discharging correlation data of each vehicle;

[0009] Control each charging pile to charge or discharge according to the charging and discharging power and dispatch priority of each charging pile.

[0010] In one embodiment, determining the dispatch priority of each charging pile according to the power resource supply and demand status and the charging and discharging correlation data of each vehicle includes:

[0011] Determine the status weight corresponding to the power resource supply and demand status and the vehicle score corresponding to the charging and discharging correlation data of each vehicle;

[0012] Determine the dispatch priority of each charging pile according to the product of the status weight and the vehicle score corresponding to the charging and discharging correlation data of each vehicle.

[0013] In one embodiment, the charge-discharge association at least includes charging demand data; determining the charge-discharge power of each charging pile according to the power resource supply-demand state and the charge-discharge association data of each vehicle includes:

[0014] Determining the total allowable charging power and the total allowable discharging power for the charging piles to perform charge and discharge according to the power resource supply-demand state;

[0015] For each charging pile, determining the charging power of the charging pile according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile, or determining the discharging power of the charging pile according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile.

[0016] In one embodiment, controlling each charging pile to charge according to the charge-discharge power and the scheduling priority of each charging pile includes:

[0017] Sorting each charging pile according to the scheduling priority of each charging pile to obtain a sorting order;

[0018] Determining the cumulative charging power corresponding to each charging pile according to the sorting order and the charging power of each charging pile; wherein, the cumulative charging power corresponding to the first charging pile is the charging power of the charging pile, and the cumulative charging power corresponding to any other charging pile is the sum of the charging power of the charging pile and the charging powers of the charging piles located before the charging pile;

[0019] Regarding the charging piles corresponding to the cumulative charging power lower than the total allowable charging power as the first charging piles allowed to charge;

[0020] Controlling each first charging pile to charge the vehicle according to the scheduling priority of each first charging pile.

[0021] In one embodiment, controlling each charging pile to discharge according to the charge-discharge power and the scheduling priority of each charging pile includes:

[0022] Sorting each charging pile according to the scheduling priority of each charging pile to obtain a sorting order;

[0023] Determining the cumulative discharging power corresponding to each charging pile according to the sorting order and the discharging power of each charging pile; wherein, the cumulative discharging power corresponding to the first charging pile is the discharging power of the charging pile, and the cumulative discharging power corresponding to any other charging pile is the sum of the discharging power of the charging pile and the discharging powers of the charging piles located before the charging pile;

[0024] Regarding the charging piles corresponding to the cumulative charging power lower than the total allowable discharging power as the second charging piles allowed to discharge;

[0025] Control each second charging pile to discharge to the power grid according to the scheduling priority of each second charging pile.

[0026] In one embodiment, the determining the power resource supply and demand state of the power grid according to the actual operation data of the power grid includes:

[0027] Determine the difference between the actual operation data and the reference operation data;

[0028] Determine the power resource supply and demand state of the power grid according to the candidate difference interval to which the difference belongs and the corresponding relationship between the candidate difference interval and the candidate supply and demand state of the power grid.

[0029] In a second aspect, the present application further provides a device for participating in the emergency response scheduling of the power grid based on a V2G charging pile, including:

[0030] An acquisition module, configured to acquire the actual operation data of the power grid and the charge and discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid;

[0031] A first determination module, configured to determine the power resource supply and demand state of the power grid according to the actual operation data of the power grid;

[0032] A second determination module, configured to determine the charge and discharge power and the scheduling priority of each charging pile according to the power resource supply and demand state and the charge and discharge correlation data of each vehicle;

[0033] A control module, configured to control each charging pile to charge or discharge according to the charge and discharge power and the scheduling priority of each charging pile.

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

[0035] Acquire the actual operation data of the power grid and the charge and discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid;

[0036] Determine the power resource supply and demand state of the power grid according to the actual operation data of the power grid;

[0037] Determine the charge and discharge power and the scheduling priority of each charging pile according to the power resource supply and demand state and the charge and discharge correlation data of each vehicle;

[0038] Control each charging pile to charge or discharge according to the charge and discharge power and the scheduling priority of each charging pile.

[0039] Fourthly, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0040] Obtain the actual operation data of the power grid and the charge-discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid;

[0041] Determine the power resource supply-demand state of the power grid according to the actual operation data of the power grid;

[0042] Determine the charge-discharge power and scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle;

[0043] Control each charging pile to charge or discharge according to the charge-discharge power and scheduling priority of each charging pile.

[0044] Fifthly, the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0045] Obtain the actual operation data of the power grid and the charge-discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid;

[0046] Determine the power resource supply-demand state of the power grid according to the actual operation data of the power grid;

[0047] Determine the charge-discharge power and scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle;

[0048] Control each charging pile to charge or discharge according to the charge-discharge power and scheduling priority of each charging pile.

[0049] The above method for V2G charging piles to participate in power grid emergency response scheduling obtains the actual operation data of the power grid and the charging and discharging correlation data of the vehicles connected to each charging pile; each charging pile is connected to the power grid; according to the actual operation data of the power grid, the power resource supply and demand status of the power grid is determined; according to the power resource supply and demand status and the charging and discharging correlation data of each vehicle, the charging and discharging power and scheduling priority of each charging pile are determined; according to the charging and discharging power and scheduling priority of each charging pile, each charging pile is controlled to charge or discharge. In the above solution, according to the power resource supply and demand status and the charging and discharging correlation data of each vehicle, the charging and discharging power and scheduling priority of each charging pile are determined. On the one hand, the charging and discharging power of each charging pile can be accurately allocated; on the other hand, according to the charging and discharging correlation data of the vehicle, the charging pile that can perform priority scheduling of resources can be determined; this can not only improve the efficiency of V2G charging piles participating in power grid emergency response scheduling, but also improve the rationality of using power resources, thereby improving the utilization rate of power resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a schematic flow chart of a method for V2G charging piles to participate in power grid emergency response scheduling in an embodiment;

[0052] Figure 2 It is a schematic flow chart of determining the scheduling priority of each charging pile in an embodiment;

[0053] Figure 3 It is a schematic flow chart of determining the charging power of each charging pile in an embodiment;

[0054] Figure 4 It is a schematic flow chart of controlling each charging pile to charge in an embodiment;

[0055] Figure 5 It is a schematic flow chart of controlling each charging pile to discharge in an embodiment;

[0056] Figure 6 It is a schematic flow chart of determining the power resource supply and demand status of the power grid in an embodiment;

[0057] Figure 7 It is a schematic structural diagram of a system for V2G charging piles to participate in power grid emergency response scheduling in an embodiment;

[0058] Figure 8 It is a schematic flowchart of a method for a V2G charging pile to participate in the emergency response dispatching of the power grid in another embodiment;

[0059] Figure 9 It is a structural block diagram of a device for a V2G charging pile to participate in the emergency response dispatching of the power grid in one embodiment;

[0060] Figure 10 It is an internal structure diagram of a computer device in one embodiment. Detailed implementation manners

[0061] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0062] The method for a V2G charging pile to participate in the emergency response dispatching of the power grid provided by the embodiments of the present application can be applied to an application scenario in which the V2G charging pile participates in the emergency response dispatching of the power grid between the V2G charging pile and the power grid.

[0063] This method can be executed by a server or by a V2G charging pile. Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0064] In an exemplary embodiment, as Figure 1 shown, a method for a V2G charging pile to participate in the emergency response dispatching of the power grid is provided. Taking this method applied to the V2G charging pile as an example, it includes the following steps:

[0065] S101, Obtain the actual operation data of the power grid and the charge-discharge correlation data of the vehicles connected to each charging pile.

[0066] Exemplarily, the charging pile can be a V2G charging pile. Each charging pile is connected to the power grid, and each charging pile can respond to the emergency of the power grid and participate in the emergency response dispatching of the power grid when an emergency occurs in the power grid. The actual operation data of the power grid includes but is not limited to data such as the voltage, current, frequency, phase, and load of the power grid; the actual operation data of the power grid can be obtained through various devices such as sensors, smart meters, and measurement and control devices distributed in the power grid, and the obtained actual operation data of the power grid is transmitted to the cloud platform. Each charging pile can obtain the actual operation data of the power grid in the cloud platform. Among them, the sensors include but are not limited to voltage transformers, current transformers, and frequency sensors.

[0067] Optionally, load monitoring devices can be installed on the substations and main power supply lines of the power grid to obtain the load data of each region in real time. The collected actual operation data can be transmitted to the data concentrator through a high-speed and reliable communication network (such as an optical fiber communication network). The data concentrator preliminarily sorts and verifies the collected actual operation data, eliminates abnormal data points, and marks the data with time to ensure the accuracy and timeliness of the data. At this time, each charging pile can obtain the actual operation data of the power grid in the data concentrator.

[0068] A connection can be established between the V2G charging pile and the vehicle through a standardized communication protocol (such as the ISO15118 communication specification). The charging pile sends a query command to the vehicle regularly (such as every 10 seconds), requesting the vehicle's battery management system (Battery Management System, BMS) to feedback vehicle information. The vehicle BMS sends charging and discharging related data such as battery power, battery temperature, battery health status (calculated based on internal algorithms such as battery internal resistance and charge and discharge times), and estimated departure time to the charging pile. Among them, the battery health status can be divided into different levels, including good, general, poor, etc.; for example, a health degree above 80% is good, 60%-80% is general, and below 60% is poor.

[0069] Exemplarily, the estimated departure time information of the vehicle can be obtained by connecting to the vehicle's information interaction system. If the vehicle does not set an estimated departure time, it is estimated according to the vehicle's usage habits. For example, the historical charging time of the vehicle at this charging pile and the local traffic flow pattern can be analyzed through big data to determine the estimated departure time of the vehicle.

[0070] S102. Determine the power resource supply and demand status of the power grid according to the actual operation data of the power grid.

[0071] Furthermore, the power resource supply status of the power grid can be determined according to the actual operation data of the power grid. Among them, the power resource supply status includes supply-demand balance, supply greater than demand, and supply less than demand. For example, the power operation data of the power grid in the supply-demand balance, supply greater than demand, and supply less than demand states can be determined in advance, and then it can be judged which power operation data under which power resource supply and demand status the actual operation data of the power grid is more in line with, and then the power resource supply and demand status of the power grid can be determined. Among them, the supply greater than demand state can be divided into multiple demand levels.

[0072] Exemplarily, historical operation data of the power grid can also be obtained to train the neural network model, enabling the neural network model to learn the operation data characteristics of the power grid under different power resource supply and demand states. When determining the power resource supply and demand state of the power grid based on the actual operation data of the power grid, the actual operation data of the power grid can be input into the trained neural network model to predict the power resource supply and demand state of the power grid.

[0073] S103. Determine the charging and discharging power and scheduling priorities of each charging pile according to the power resource supply and demand state and the charging and discharging association data of each vehicle.

[0074] Exemplarily, if the power resource supply and demand state is supply greater than demand, the charging and discharging power and scheduling priorities of each charging pile can be determined according to the power resource supply and demand state and the charging and discharging association data of each vehicle. For example, charging piles that urgently need to charge vehicles can be given higher scheduling priorities, and charging piles connected to vehicles with no charging demand and sufficient battery power can be given lower priorities. Among them, the charging and discharging association data of the vehicle can reflect the amount of electricity the vehicle needs to charge and the expected charging time, so that the charging power of the vehicle at each charging moment can be determined; and according to the power resource supply and demand state, the charging power that the power grid can provide to the charging pile can be determined; furthermore, according to the charging power of the vehicle at each charging moment and the charging power that the power grid can provide to the charging pile, the charging power that the charging pile needs to provide to the vehicle at each charging moment can be determined.

[0075] If the power resource supply and demand state is supply less than demand, the charging and discharging power and scheduling priorities of each charging pile can be determined according to the power resource supply and demand state and the charging and discharging association data of each vehicle. For example, charging piles connected to vehicles with no charging demand and sufficient battery power can be given higher priorities, and charging piles that urgently need to charge vehicles can be given lower scheduling priorities. Among them, the charging and discharging association data of the vehicle can reflect the amount of electricity the vehicle needs to charge and the expected charging time, so that the charging power of the vehicle at each charging moment can be determined; and according to the power resource supply and demand state, the discharging power that the charging pile needs to provide to the power grid can be determined; furthermore, according to the charging power of the vehicle at each charging moment, the remaining power of the vehicle battery, and the discharging power that the charging pile needs to provide to the power grid, the discharging power that the charging pile needs to provide to the power grid at each charging moment can be determined.

[0076] S104. Control each charging pile to charge or discharge according to the charging and discharging power and scheduling priorities of each charging pile.

[0077] Exemplarily, each charging pile can be controlled to charge the vehicle according to the charging power and scheduling priority of each charging pile; and each charging pile can be controlled to discharge to the power grid according to the discharging power and scheduling priority of each charging pile.

[0078] Optionally, each charging pile can report the power resource supply and demand status and the charging and discharging correlation data of each vehicle to the cloud platform, and report the charging and discharging power and the power curve and scheduling priority of each charging pile to the cloud platform, so that other charging piles can obtain the charging and discharging correlation data of other vehicles and the power resource supply and demand status of the power grid, and obtain the charging and discharging power and the power curve and scheduling priority of other charging piles.

[0079] During the scheduling process, the power resource supply and demand status of the power grid and the changes in the vehicle status can be continuously monitored. If the grid demand level decreases, the discharging power of the V2G charging piles can be appropriately adjusted or the discharging of some charging piles can be stopped; if the vehicle status changes (such as the vehicle suddenly needs to be charged or the expected departure time is advanced), the scheduling strategy can be adjusted in a timely manner to avoid unnecessary impacts on vehicle users. After the power grid supply and demand are balanced, the V2G charging piles are orderly arranged to charge the vehicles according to the overall charging plan of the power grid and the vehicle requirements.

[0080] When the power resource supply and demand status changes or the vehicle status changes, for example, the grid load suddenly increases and emergency peak shaving is required, or the vehicle user ends the journey in advance and needs to be charged immediately, at this time, the charging and discharging power of the charging pile needs to be adjusted in a timely manner. If the grid scheduling requires an increase in the discharging power to balance the load, at this time, it is necessary to calculate and control the charging pile to discharge according to the new discharging power curve and quickly feed the electric energy back to the power grid; if the vehicle status change leads to the need for priority charging, at this time, it is necessary to adjust the power curve of the charging pile, suspend discharging or reduce the charging power of other non-critical devices to make sufficient charging resources available for the vehicle, and control the charging pile to charge the vehicle according to the changed charging power.

[0081] During the entire scheduling process, while the charging pile is performing control operations, it can also publish the details of triggering the power grid to the charging pile information sharing and forwarding platform. This enables other charging piles and substations to timely understand the dynamic changes of the power grid, so that other charging piles can also adjust their own charging and discharging strategies accordingly, thereby realizing the coordinated linkage of the entire distributed energy system and jointly coping with various complex operating conditions.

[0082] The above method for the V2G charging pile to participate in the emergency response scheduling of the power grid obtains the actual operation data of the power grid and the charge-discharge correlation data of the vehicles connected to each charging pile; each charging pile is connected to the power grid; according to the actual operation data of the power grid, the power resource supply-demand state of the power grid is determined; according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle, the charge-discharge power and scheduling priority of each charging pile are determined; according to the charge-discharge power and scheduling priority of each charging pile, each charging pile is controlled to charge or discharge. In the above solution, according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle, the charge-discharge power and scheduling priority of each charging pile are determined. On the one hand, the charge-discharge power of each charging pile can be accurately allocated; on the other hand, according to the charge-discharge correlation data of the vehicle, the charging pile that can perform priority scheduling of resources can be determined; this can not only improve the efficiency of the emergency response scheduling of the power grid, but also improve the rationality of the utilization of power resources, and then improve the utilization rate of power resources.

[0083] In some optional implementation manners, refer to Figure 2 , Figure 2 A flow schematic diagram for determining the scheduling priority of each charging pile is provided, which specifically includes the following steps:

[0084] S201, determine the state weight corresponding to the power resource supply-demand state and the vehicle score corresponding to the charge-discharge correlation data of each vehicle.

[0085] Exemplarily, the state weights corresponding to different power resource supply-demand states can be set according to empirical data. For example, mainly taking the case where the power resource supply-demand state of the power grid is supply greater than demand as an example, for example, the power resource supply-demand state of the power grid can be divided into multiple demand levels, and taking the case of being divided into 3 demand levels as an example. The corresponding relationship between the power resource supply-demand state and the state weight can be established according to empirical data. Suppose the state weight corresponding to the first-level demand is 0.6, the state weight corresponding to the second-level demand is 0.4, and the state weight corresponding to the third-level demand is 0.2. The state weight corresponding to the power resource supply-demand state can be determined according to the power resource supply-demand state and the corresponding relationship.

[0086] And, the corresponding vehicle score can be determined according to the charge-discharge correlation data of each vehicle. For example, taking the charge-discharge correlation data including battery power, battery health status, expected departure time, charging demand, and vehicle type as an example. Similarly, the weights of each item of charge-discharge correlation data can be determined according to empirical data. For example, the battery power weight can be set to 0.3, the battery health status weight can be set to 0.2, the expected departure time weight can be set to 0.3, the charging demand weight can be set to 0.1, and the vehicle type weight can be set to 0.1. These weights can be adjusted and optimized according to empirical data and data analysis results.

[0087] Furthermore, based on the actual charge-discharge correlation data of each vehicle and various items of actual charge-discharge correlation data, the vehicle score of the vehicle can be determined. For example, the vehicle battery power is 80% (power weight 0.3, score 0.24), the battery health status is good (weight 0.2, score 0.2), the expected departure time is greater than the preset duration (weight 0.3, score 0.3), there is no special charging requirement (weight 0.1, score 0), and the vehicle type (which can be determined by parsing the vehicle identification number (VIN) or the vehicle type field in the communication protocol) is a large electric vehicle (weight 0.1, score 0.1), then the vehicle score is 0.24 + 0.2 + 0.3 + 0 + 0.1 = 0.84. Among them, the preset duration can be set according to the actual situation. For example, it can be set to 1 hour or half an hour, etc.; special charging requirements can be understood as the vehicle turning on the fast charging mode (which can be judged by a specific flag bit in the vehicle-charging pile communication protocol), or setting a minimum charging power requirement, etc.

[0088] S202, determine the scheduling priority of each charging pile according to the product of the status weight and the vehicle score corresponding to the charge-discharge correlation data of each vehicle.

[0089] Furthermore, according to the product of the status weight and the vehicle score corresponding to the charge-discharge correlation data of each vehicle, the scheduling priorities of each charging pile can be sorted in descending order of the product, and the charging piles ranked in the front are given higher scheduling priorities.

[0090] For example, in the first-level demand state, the V2G charging pile connected to a large electric vehicle with sufficient battery power, good battery health status, long expected departure time, and no emergency charging requirements will be given a higher priority. For the charging piles connected to vehicles with low battery power, expected to leave soon, or poor battery health, the priority will be lower. The priority can be dynamically adjusted according to the real-time changes in the power resource supply-demand status of the power grid and the vehicle status to ensure the rationality of the scheduling.

[0091] In the embodiments of the present application, according to the status weight corresponding to the power resource supply-demand status and the vehicle score corresponding to the charge-discharge correlation data of each vehicle, the scheduling priorities of each charging pile are determined, making the determined priorities of each charging pile more reasonable, and thus facilitating more efficient scheduling of power resources.

[0092] In some alternative implementation manners, the charge-discharge correlation at least includes charging demand data, and the charging demand data is used to reflect information such as the charging power demand and charging duration demand of the vehicle.

[0093] Based on this, referring to Figure 3 , Figure 3 a flow diagram for determining the charging power of each charging pile is provided, which specifically includes the following steps:

[0094] S301. Determine the total allowable charging power and the total allowable discharging power for the charging piles to charge and discharge according to the supply and demand status of power resources.

[0095] Exemplarily, if the supply and demand status of power resources is that supply is greater than demand, the total allowable charging power for the charging piles to charge and discharge can be determined according to the power resources available from the power grid; if the supply and demand status of power resources is that supply is less than demand, the total allowable discharging power for the charging piles to charge and discharge can be determined according to the power resources demanded by the power grid.

[0096] S302. For each charging pile, determine the charging power of the charging pile according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile, or determine the discharging power of the charging pile according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile.

[0097] Furthermore, for each charging pile, the charging power of the charging pile can be determined according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile. For example, when the charging demand data of the vehicle connected to the charging pile is less than the total allowable charging power, the charging demand power in the charging demand data of the vehicle connected to the charging pile can be directly used as the charging power of the charging pile. When the charging demand data of the vehicle connected to the charging pile is greater than or equal to the total allowable charging power, the total allowable charging power can be directly used as the charging power of the charging pile.

[0098] Alternatively, the discharging power of the charging pile can be determined according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile. For example, when the available charging power in the charging demand data of the vehicle connected to the charging pile is less than the total allowable discharging power, the available charging power of the vehicle connected to the charging pile can be directly used as the charging power of the charging pile. When the available charging power in the charging demand data of the vehicle connected to the charging pile is greater than or equal to the total allowable discharging power, the total allowable discharging power can be directly used as the charging power of the charging pile.

[0099] In the embodiments of the present application, determining the charging power of the charging pile according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile, and determining the discharging power of the charging pile according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile can make the charging power and discharging power of the charging pile more in line with the actual demand, thereby improving the utilization rate of power resources.

[0100] In some alternative implementation manners, refer to Figure 4 , Figure 4 A schematic flow chart for controlling each charging pile to charge is provided, which specifically includes the following steps:

[0101] S401. Sort each charging pile according to its scheduling priority to obtain a sorting order.

[0102] Exemplarily, each charging pile can be sorted in descending order of its scheduling priority to obtain a sorting order.

[0103] S402. Determine the cumulative charging power corresponding to each charging pile according to the sorting order and the charging power of each charging pile.

[0104] Furthermore, the charging powers of the charging piles in the sorting order can be cumulatively added one by one to obtain the cumulative charging power corresponding to each charging pile. For example, the cumulative charging power corresponding to the charging pile ranked 5th in the sorting order is the sum of the charging powers of the first 5 charging piles.

[0105] Among them, the cumulative charging power corresponding to the first charging pile is the charging power of the first charging pile, and the cumulative charging power corresponding to any other charging pile is the sum of the charging power of the charging pile and the charging powers of the charging piles before it. In this way, the cumulative charging power corresponding to each charging pile can be obtained.

[0106] S403. Take all the charging piles corresponding to the cumulative charging power lower than the total allowable charging power as the first charging piles allowed to charge.

[0107] Further, all the charging piles corresponding to the cumulative charging power lower than the total allowable charging power can be taken as the first charging piles allowed to charge. For example, if the cumulative charging powers of the first 10 charging piles are all less than the total allowable charging power, the first 10 charging piles can be taken as the first charging piles allowed to charge.

[0108] S404. Control each first charging pile to charge the vehicle according to the scheduling priority of each first charging pile.

[0109] Exemplarily, each first charging pile can be controlled to charge the vehicle according to the scheduling priority of each first charging pile. For example, the first charging pile with a higher scheduling priority can preferentially charge the vehicle.

[0110] In the embodiments of the present application, by cumulatively adding the charging powers corresponding to each charging pile, and determining the first charging piles allowed to charge according to the magnitude relationship between the cumulative charging power corresponding to each charging pile and the total allowable charging power, and then controlling each first charging pile to charge the vehicle according to the scheduling priority of each first charging pile; in this way, it is realized that the power resources are preferentially allocated to the charging piles with more urgent power consumption needs, thereby improving the utilization efficiency of the power resources.

[0111] In some alternative implementation manners, refer to Figure 5 , Figure 5A flow chart for controlling the discharge of each charging pile is provided, which specifically includes the following steps:

[0112] S501. Sort each charging pile according to the scheduling priority of each charging pile to obtain an arrangement order.

[0113] Exemplarily, each charging pile can be sorted in descending order of the scheduling priority of each charging pile to obtain an arrangement order.

[0114] S502. Determine the cumulative discharge power corresponding to each charging pile according to the arrangement order and the discharge power of each charging pile.

[0115] Furthermore, the discharge powers of the charging piles in the arrangement order can be cumulatively added one by one to obtain the cumulative discharge power corresponding to each charging pile. For example, the cumulative discharge power corresponding to the charging pile ranked 6th in the arrangement order is the sum of the discharge powers of the first 6 charging piles.

[0116] Among them, the cumulative discharge power corresponding to the first charging pile is the discharge power of the first charging pile, and the cumulative discharge power corresponding to any other charging pile is the sum of the discharge power of the charging pile and the discharge powers of the charging piles before it.

[0117] S503. All the charging piles corresponding to the cumulative charging power lower than the total allowable discharge power are used as the second charging piles allowed to discharge.

[0118] Further, the charging piles corresponding to the cumulative discharge power lower than the total allowable discharge power can be used as the charging piles allowed to discharge. For example, if the cumulative discharge powers of the first 8 charging piles are all less than the total allowable discharge power, the first 8 charging piles can be used as the charging piles allowed to discharge.

[0119] S504. Control each second charging pile to discharge to the power grid according to the scheduling priority of each second charging pile.

[0120] Exemplarily, each second charging pile can be controlled to discharge to the power grid according to the scheduling priority of each second charging pile. For example, the second charging pile with a higher scheduling priority can discharge to the power grid first.

[0121] In the embodiment of the present application, by cumulatively adding the discharge powers corresponding to each charging pile, and determining the second charging piles allowed to discharge according to the magnitude relationship between the cumulative discharge power corresponding to each charging pile and the total allowable discharge power, and then controlling each second charging pile to discharge to the power grid according to the scheduling priority of each second charging pile; in this way, it is realized that the charging piles with more sufficient power resources are controlled to discharge to the power grid first, thereby improving the utilization efficiency of power resources.

[0122] In some optional implementation manners, refer to Figure 6, Figure 6 A process schematic diagram for determining the supply-demand status of power resources in a power grid is provided, specifically including the following steps:

[0123] S601, determine the difference between the actual operation data and the reference operation data.

[0124] Exemplarily, the difference between the actual operation data and the reference operation data corresponding to the power grid supply-demand balance state can be calculated.

[0125] S602, determine the supply-demand status of the power resources in the power grid according to the candidate difference interval to which the difference belongs and the corresponding relationship between the candidate difference interval and the candidate supply-demand status of the power grid.

[0126] Optionally, the actual operation data can be preprocessed in advance, such as using a filtering algorithm to remove noise interference and improve data quality. Furthermore, signal processing technologies such as wavelet transform can be used to detect the mutation of the actual operation data of the power grid, and a neural network algorithm can be combined to classify the supply-demand status of the power resources in the power grid. When the actual operation data of the power grid deviates from the normal operation range, the supply-demand status of the power resources in the power grid can be evaluated according to the deviation degree and the change speed.

[0127] Exemplarily, the corresponding relationship between each candidate difference interval and the candidate supply-demand status of the power grid can be set in advance. For example, when the voltage deviation exceeds 5% of the normal range and continues to increase within a short time (such as within 10 seconds), the frequency fluctuation exceeds 0.2 Hz, and the load exceeds 70% of the safety capacity and shows an upward trend, the candidate supply-demand status can be determined as the first-level demand; if the voltage deviation is between 3% and 5%, the frequency fluctuation is between 0.1 Hz and 0.2 Hz, and the load exceeds 60% to 70% of the safety capacity, the candidate supply-demand status can be determined as the second-level demand; for other situations of voltage deviation, frequency fluctuation, and load range, the candidate supply-demand status is determined as the third-level demand.

[0128] Furthermore, after determining the difference between the actual operation data and the reference operation data, the supply-demand status of the power resources in the power grid can be determined according to the candidate difference interval to which the difference belongs and the corresponding relationship between the candidate difference interval and the candidate supply-demand status of the power grid. For example, if the difference between the actual operation data and the reference operation data is that the voltage deviation exceeds 4% of the normal range, the frequency fluctuation is 0.15 Hz, and the load exceeds 65% of the safety capacity, the supply-demand status of the power resources in the power grid is determined as the second-level demand.

[0129] Optionally, the supply-demand status of the power resources in the power grid can be transmitted to the cloud platform for verification and correction.

[0130] In the embodiments of the present application, by presetting the correspondence between the candidate difference interval and the candidate supply and demand state of the power grid, the power resource supply and demand state of the power grid can be determined efficiently and accurately according to the difference between the actual operation data and the reference operation data.

[0131] In some alternative implementation manners, referring to Figure 7 , Figure 7 a schematic structural diagram of a system based on V2G charging piles participating in the emergency response scheduling of the power grid is provided. The system includes a power grid, a cloud platform, V2G charging piles, and electric vehicles. Among them, the V2G charging piles mainly include a power grid monitoring module, a vehicle status detection module, a dynamic priority setting module, and a distributed energy scheduling module. The cloud platform obtains the operation data of the power grid through the substation area power parameter acquisition / data sharing device and conducts data interaction with the charging piles. The charging pile information sharing and forwarding platform is used to save the planned charge and discharge power curves and the scheduling priorities reported by each V2G pile.

[0132] Next, in combination with Figure 7 , referring to Figure 8 , Figure 8 a schematic flowchart of a method based on V2G charging piles participating in the emergency response scheduling of the power grid is provided, which specifically includes the following steps:

[0133] S10, the power grid monitoring module obtains the actual operation data of the power grid.

[0134] S20, the power grid monitoring module checks, sorts out the data and adds a time mark to the actual operation data of the power grid.

[0135] S30, the power grid monitoring module performs data preprocessing on the actual operation data.

[0136] S40, the power grid monitoring module uses wavelet transform to analyze the time-frequency characteristics of the actual operation data of the power grid.

[0137] S50, the power grid monitoring module compares the analysis result with the candidate difference interval and evaluates the power resource supply and demand state of the power grid by using a neural network algorithm in combination with the change rate.

[0138] S60, the power grid monitoring module transmits the power resource supply and demand state of the power grid to the dynamic priority setting module.

[0139] S11, the vehicle status detection module establishes a connection with the vehicle through the ISO15118 protocol and regularly sends query instructions to the vehicle BMS.

[0140] S21, the vehicle status detection module receives the battery power, temperature, health status, and estimated departure time feedback from the vehicle BMS, etc.

[0141] If the vehicle has set an estimated departure time, directly obtain it; if not, the vehicle status detection module uses a decision tree model to determine the vehicle's estimated departure time by combining the historical charging time, traffic flow pattern, current time, and vehicle type.

[0142] S31, the vehicle status detection module obtains the vehicle's charging demand and vehicle type, and classifies the battery health status according to a preset standard.

[0143] S41, the vehicle status detection module packs the processed vehicle information into a data frame and transmits the data frame to the dynamic priority setting module.

[0144] S70, the dynamic priority setting module receives the power resource supply and demand status of the power grid and the vehicle information data frame.

[0145] S80, the dynamic priority setting module initializes the weight of the power resource supply and demand status and the weight of the charge and discharge correlation data of the vehicle.

[0146] S90, the dynamic priority setting module determines the weight value according to the weight of the power resource supply and demand status.

[0147] S100, the dynamic priority setting module calculates the vehicle score according to the weight for V2G charging piles.

[0148] S110, the dynamic priority setting module sorts the V2G charging piles according to the vehicle score to determine the priority.

[0149] S120, the dynamic priority setting module process receives data again at a preset frequency, and when the power resource supply and demand status or the charge and discharge correlation data changes, recalculates the priority and sorts, and sends the changed result to the distributed energy scheduling module.

[0150] S130, the distributed energy scheduling module receives information such as the priority sorting result of V2G charging piles and the power resource supply and demand status.

[0151] S140, the distributed energy scheduling module initializes the scheduling parameters of each V2G charging pile.

[0152] Among them, the V2G charging pile scheduling parameters include discharge power limit, discharge time limit, etc.

[0153] S150, the distributed energy scheduling module publishes this information to the charging pile information sharing and forwarding platform by receiving the weight parameters of the power resource supply and demand status and the charge and discharge correlation data of the vehicle from the dynamic priority setting module, and obtains the information reported by V2G piles in other substations on the charging pile information sharing and forwarding platform.

[0154] S160. The distributed energy scheduling module also obtains the planned charge-discharge power curves and the scheduling priorities reported by other V2G chargers stored on the charging pile information sharing and forwarding platform. According to information such as the weight of the local power resource supply-demand status and the weight parameters of the charge-discharge association data of the vehicle, and the planned charge-discharge power curves reported by other V2G chargers stored on the charging pile information sharing and forwarding platform, the global optimal charge-discharge power curve and the scheduling priority of this charging pile are calculated based on this information.

[0155] S170. When the power resource supply-demand status changes or the vehicle status changes, the distributed energy scheduling module controls the charging control module to charge and discharge according to the discharge power curve, and publishes the power grid change situation to the charging pile information sharing and forwarding platform.

[0156] S180. During the scheduling process, the power grid detection module continuously monitors the changes in the power grid status and the vehicle status and adjusts the charge-discharge power curve and the scheduling priority.

[0157] In the embodiments of the present application, dynamic priorities are set according to the power resource supply-demand status of the power grid and the vehicle status, different priority V2G charging piles are scheduled to charge or discharge, and the charge-discharge power is controlled to meet the requirements of power grid scheduling and power grid emergency response. The emergency response ability of the power grid is improved. In an emergency, the V2G charging pile can be quickly scheduled to supplement the power shortage, stabilize the voltage frequency, reduce the power outage range and time, and ensure the power supply of critical loads; the utilization of V2G resources is effectively optimized, and the charge and discharge are arranged considering the vehicle status to extend the battery life, improve the use efficiency of the charging pile and the utilization rate of energy storage resources; at the same time, the interaction between the power grid and users is strongly enhanced, and the user needs are met to improve the satisfaction while ensuring the safety of the power grid.

[0158] It should be understood that although the steps in the flowcharts involved in the above-mentioned embodiments are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0159] Based on the same inventive concept, an embodiment of the present application further provides a device for participating in grid emergency response scheduling based on a V2G charging pile for implementing the method for participating in grid emergency response scheduling based on a V2G charging pile involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for participating in grid emergency response scheduling based on a V2G charging pile provided below can refer to the limitations on the method for participating in grid emergency response scheduling based on a V2G charging pile in the above text, and will not be elaborated here.

[0160] In an exemplary embodiment, as Figure 9 shown, a device for participating in grid emergency response scheduling based on a V2G charging pile is provided, including:

[0161] An acquisition module 10, configured to acquire the actual operation data of the grid and the charge-discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the grid;

[0162] A first determination module 20, configured to determine the power resource supply-demand state of the grid according to the actual operation data of the grid;

[0163] A second determination module 30, configured to determine the charge-discharge power and scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle;

[0164] A control module 40, configured to control each charging pile to charge or discharge according to the charge-discharge power and scheduling priority of each charging pile.

[0165] The above device for participating in grid emergency response scheduling based on a V2G charging pile acquires the actual operation data of the grid and the charge-discharge correlation data of the vehicles connected to each charging pile; each charging pile is connected to the grid; determines the power resource supply-demand state of the grid according to the actual operation data of the grid; determines the charge-discharge power and scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle; and controls each charging pile to charge or discharge according to the charge-discharge power and scheduling priority of each charging pile. In the above solution, according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle, the charge-discharge power and scheduling priority of each charging pile are determined. On the one hand, the charge-discharge power of each charging pile can be accurately allocated; on the other hand, according to the charge-discharge correlation data of the vehicles, the charging piles that can perform priority scheduling of resources can be determined; this can not only improve the efficiency of grid emergency response scheduling, but also improve the rationality of using power resources, thereby improving the utilization rate of power resources.

[0166] In one of the embodiments, the second determination module 30 is specifically configured to:

[0167] Determine the state weight corresponding to the power resource supply and demand state and the vehicle scores corresponding to the charge-discharge correlation data of each vehicle; determine the scheduling priority of each charging pile according to the product of the state weight and the vehicle scores corresponding to the charge-discharge correlation data of each vehicle.

[0168] In one embodiment, the charge-discharge correlation at least includes charging demand data; the second determination module 30 specifically includes:

[0169] The first determination unit is used to determine the total allowable charging power and the total allowable discharging power that allow the charging pile to perform charge and discharge according to the power resource supply and demand state;

[0170] The second determination unit is used to, for each charging pile, determine the charging power of the charging pile according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile, or determine the discharging power of the charging pile according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile.

[0171] In one embodiment, the control module 40 is specifically used for:

[0172] Sort each charging pile according to the scheduling priority of each charging pile to obtain an arrangement order; determine the cumulative charging power corresponding to each charging pile according to the arrangement order and the charging power of each charging pile; wherein, the cumulative charging power corresponding to the first charging pile is the charging power of the charging pile, and the cumulative charging power corresponding to any other charging pile is the sum of the charging power of the charging pile and the charging powers of the charging piles located before the charging pile; regard the charging piles corresponding to the cumulative charging power lower than the total allowable charging power as the first charging piles allowed to charge; control each first charging pile to charge the vehicle according to the scheduling priority of each first charging pile.

[0173] In one embodiment, the control module 40 is specifically used for:

[0174] Sort each charging pile according to the scheduling priority of each charging pile to obtain an arrangement order; determine the cumulative discharging power corresponding to each charging pile according to the arrangement order and the discharging power of each charging pile; wherein, the cumulative discharging power corresponding to the first charging pile is the discharging power of the charging pile, and the cumulative discharging power corresponding to any other charging pile is the sum of the discharging power of the charging pile and the discharging powers of the charging piles located before the charging pile; regard the charging piles corresponding to the cumulative charging power lower than the total allowable discharging power as the second charging piles allowed to discharge; control each second charging pile to discharge to the power grid according to the scheduling priority of each second charging pile.

[0175] In one embodiment, the first determination module 20 is specifically used for:

[0176] Determine the difference between the actual operating data and the reference operating data; determine the power resource supply and demand status of the power grid according to the candidate difference interval to which the difference belongs and the corresponding relationship between the candidate difference interval and the candidate supply and demand status of the power grid.

[0177] Each module in the above device based on the V2G charging pile participating in the emergency response dispatching of the power grid can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor in the computer device in hardware form or independent of it, or stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0178] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a V2G charging pile, and its internal structure diagram can be as Figure 10 shown. The computer device includes a processor, a memory, an input / output (I / O) interface, and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the power grid operation data and the charging and discharging association data of the vehicle. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it realizes a method based on the V2G charging pile participating in the emergency response dispatching of the power grid.

[0179] Those skilled in the art can understand that Figure 10 the structure shown in

[0180] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0181] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for a V2G charging pile to participate in grid emergency response scheduling described in any of the above embodiments are implemented.

[0182] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps of the method for a V2G charging pile to participate in grid emergency response scheduling described in any of the above embodiments are implemented.

[0183] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0184] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0185] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present application.

[0186] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for a V2G charging pile to participate in the emergency response dispatching of the power grid, characterized in that, The method includes: Obtaining the actual operation data of the power grid and the charge-discharge correlation data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid; Determining the power resource supply-demand state of the power grid according to the actual operation data of the power grid; Determining the charge-discharge power and scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle; Controlling each charging pile to charge or discharge according to the charge-discharge power and scheduling priority of each charging pile.

2. The method according to claim 1, characterized in that, Determining the scheduling priority of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle includes: Determining the state weight corresponding to the power resource supply-demand state and the vehicle score corresponding to the charge-discharge correlation data of each vehicle; Determining the scheduling priority of each charging pile according to the product of the state weight and the vehicle score corresponding to the charge-discharge correlation data of each vehicle.

3. The method according to claim 1, characterized in that, The charge-discharge correlation at least includes charging demand data; Determining the charge-discharge power of each charging pile according to the power resource supply-demand state and the charge-discharge correlation data of each vehicle includes: Determining the total allowable charging power and total allowable discharging power for the charging piles to charge or discharge according to the power resource supply-demand state; For each charging pile, determining the charging power of the charging pile according to the total allowable charging power and the charging demand data of the vehicle connected to the charging pile, or determining the discharging power of the charging pile according to the total allowable discharging power and the charging demand data of the vehicle connected to the charging pile.

4. The method according to claim 3, characterized in that, Controlling each charging pile to charge according to the charge-discharge power and scheduling priority of each charging pile includes: Sorting each charging pile according to the scheduling priority of each charging pile to obtain a sorting order; Determining the cumulative charging power corresponding to each charging pile according to the sorting order and the charging power of each charging pile; wherein, the cumulative charging power corresponding to the first charging pile is the charging power of the charging pile, and the cumulative charging power corresponding to any other charging pile is the sum of the charging power of the charging pile and the charging powers of the charging piles before the charging pile; Regarding the charging piles corresponding to the cumulative charging power lower than the total allowable charging power as the first charging piles allowed to charge; Controlling each first charging pile to charge the vehicle according to the scheduling priority of each first charging pile.

5. The method according to claim 3, characterized in that Controlling each charging pile to discharge according to the charge-discharge power and scheduling priority of each charging pile includes: Sorting each charging pile according to the scheduling priority of each charging pile to obtain a sorting order; Determining the cumulative discharging power corresponding to each charging pile according to the sorting order and the discharging power of each charging pile; wherein, the cumulative discharging power corresponding to the first charging pile is the discharging power of the charging pile, and the cumulative discharging power corresponding to any other charging pile is the sum of the discharging power of the charging pile and the discharging powers of the charging piles before the charging pile; Regarding the charging piles corresponding to the cumulative charging power lower than the total allowable discharging power as the second charging piles allowed to discharge; Controlling each second charging pile to discharge to the power grid according to the scheduling priority of each second charging pile.

6. The method according to claim 1, wherein Determining the power resource supply and demand state of the power grid according to the actual operation data of the power grid includes: Determining the difference between the actual operation data and the reference operation data; Determining the power resource supply and demand state of the power grid according to the candidate difference interval to which the difference belongs and the corresponding relationship between the candidate difference interval and the candidate supply and demand state of the power grid.

7. A device for a V2G charging pile to participate in the emergency response dispatching of the power grid, characterized in that, The device includes: An acquisition module, configured to acquire the actual operation data of the power grid and the charge and discharge association data of the vehicles connected to each charging pile; wherein, each charging pile is connected to the power grid; A first determination module, configured to determine the power resource supply and demand state of the power grid according to the actual operation data of the power grid; A second determination module, configured to determine the charge and discharge power and the scheduling priority of each charging pile according to the power resource supply and demand state and the charge and discharge association data of each vehicle; A control module, configured to control each charging pile to charge or discharge according to the charge and discharge power and the scheduling priority of each charging pile.

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

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

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

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