Electric vehicle charging and discharging scheduling method and device

Abstract

The present invention discloses a method and device for scheduling charging and discharging of electric vehicles, and relates to the technical field of charging and discharging of electric vehicles; predicting a first load curve according to historical power data of a target power grid; obtaining charging information of a plurality of charging vehicles; dividing charging vehicles into non-dispatchable vehicles and dispatchable vehicles; determining the charging power of the non-dispatchable vehicles according to the charging information of the non-dispatchable vehicles, and correcting the first load curve to obtain a second load curve; determining the charging and discharging power of the dispatchable vehicles according to the charging information of the dispatchable vehicles and the second load curve. By predicting and correcting the load curve, combined with the scheduling of the charging and discharging power of the dispatchable vehicles, the system can fill the valley during the low load period of the power grid, and cut the peak during the peak period. By comprehensively utilizing the charging and discharging capabilities of electric vehicles, the fluctuation of the power grid can be effectively stabilized, and the stability and reliability of the power grid can be significantly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging and discharging, and in particular to an electric vehicle charging and discharging scheduling method and device. Background Art

[0002] With the increasing global attention to environmental issues and the change in energy consumption patterns, electric vehicles, as a clean energy means of transportation, are gradually becoming the mainstream choice for future transportation. Compared with traditional fuel vehicles, electric vehicles reduce dependence on fossil fuels, reduce tail gas emissions, and help improve air quality and reduce greenhouse gas emissions.

[0003] Currently, electric vehicles can be charged during low-load periods of the grid through smart charging systems, thereby reducing energy waste and optimizing grid operation. However, existing technologies ignore the fact that electric vehicles can not only be charged, but can also serve as distributed generation sources, helping the grid to cope with energy demand during peak load periods by discharging. Treating electric vehicles only as loads results in low efficiency and lack of flexibility in stabilizing grid fluctuations. Summary of the invention

[0004] The purpose of the present invention is to solve the problem of low efficiency of electric vehicles in stabilizing power grid fluctuations mentioned in the above background technology, and to propose a method and device for scheduling electric vehicle charging and discharging.

[0005] A first aspect of the present invention provides a method for scheduling charging and discharging of electric vehicles, the method comprising:

[0006] Predicting a first load curve of the target power grid according to historical power data of the target power grid;

[0007] Obtain charging information of multiple charging vehicles;

[0008] According to the charging information of the charging vehicles, the charging vehicles are divided into non-dispatchable vehicles and dispatchable vehicles;

[0009] Determining the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and correcting the first load curve to obtain a second load curve;

[0010] The charging and discharging power of the dispatchable vehicle is determined according to the charging information of the dispatchable vehicle and the second load curve.

[0011] Optionally, the charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles;

[0012] The method of classifying the charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to the charging information of the charging vehicles includes:

[0013] If the discharge authorization information of the target vehicle is no, the target vehicle is classified as a first type of non-dispatchable vehicle; the target vehicle is any one of a plurality of charging vehicles;

[0014] If the discharge authorization information of the target vehicle is yes, obtaining the charging environment temperature of the target vehicle, and determining the charging efficiency of the target vehicle according to the charging environment temperature;

[0015] Calculating the minimum expected charging power of the target vehicle according to the charging efficiency; the minimum expected charging power is the minimum power that ensures that the target vehicle reaches the expected state of charge at the departure time;

[0016] If the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power, the target vehicle is classified as a second type of non-dispatchable vehicle.

[0017] Optionally, the charging information of each charging vehicle also includes maximum charging power, maximum discharging power, battery rated capacity, initial state of charge, and access time;

[0018] Calculating the minimum expected charging power of the target vehicle according to the charging efficiency includes:

[0019] According to the charging information of the target vehicle and the charging efficiency, the minimum expected charging power is calculated:

[0020]

[0021] Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

[0022] Optionally, determining the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and correcting the first load curve to obtain the second load curve includes:

[0023] According to the charging information of the non-dispatchable vehicles, the charging power of each non-dispatchable vehicle is obtained:

[0024]

[0025] Among them, P i,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmaxis the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle;

[0026] Calculating a first charging load according to the charging power of the non-dispatchable vehicle;

[0027] The first load curve is corrected according to the first charging load to obtain a second load curve.

[0028] Optionally, the absolute values ​​of the charging power and the discharging power of the dispatchable vehicle are constant;

[0029] The determining the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve comprises:

[0030] Determine the target time period based on the latest stopping time of the dispatchable vehicles;

[0031] The target time period is discretized according to the preset duration, and the objective function is established based on the goals of stabilizing grid fluctuations and minimizing charging costs:

[0032] Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; CP t is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle;

[0033] Establish constraint conditions based on the charging information of dispatchable vehicles;

[0034] Taking the charge and discharge state of each dispatchable vehicle in each discrete time period as a variable, solving the problem through a linear programming algorithm according to the objective function and the constraint conditions, the charge and discharge state of each dispatchable vehicle in each discrete time period is obtained;

[0035] The charging and discharging power of each dispatchable vehicle is determined according to its charging and discharging status.

[0036] A second aspect of the present invention provides an electric vehicle charging and discharging scheduling device, the device comprising:

[0037] A first load determination module, configured to predict a first load curve of the target power grid according to historical power data of the target power grid;

[0038] A charging information acquisition module, used to acquire charging information of multiple charging vehicles;

[0039] A classification module, used for classifying charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to charging information of the charging vehicles;

[0040] A charging load adding module, used to determine the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and to correct the first load curve to obtain a second load curve;

[0041] The scheduling module is used to determine the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve.

[0042] Optionally, the charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles;

[0043] The classification module comprises:

[0044] A first-category non-dispatchable vehicle determination module, configured to classify a target vehicle as a first-category non-dispatchable vehicle if the discharge authorization information of the target vehicle is no; the target vehicle is any one of a plurality of charging vehicles;

[0045] A charging efficiency correction module, for obtaining the charging environment temperature of the target vehicle if the discharge authorization information of the target vehicle is yes, and determining the charging efficiency of the target vehicle according to the charging environment temperature;

[0046] A minimum power calculation module, used to calculate the minimum expected charging power of the target vehicle according to the charging efficiency; the minimum expected charging power is the minimum power to ensure that the target vehicle reaches the expected state of charge at the departure time;

[0047] The second category non-dispatchable vehicle determination module is used to classify the target vehicle as a second category non-dispatchable vehicle if the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power.

[0048] Optionally, the charging information of each charging vehicle also includes maximum charging power, maximum discharging power, battery rated capacity, initial state of charge, and access time;

[0049] The minimum power calculation module comprises:

[0050] The expected power calculation module is used to calculate the minimum expected charging power according to the charging information of the target vehicle and the charging efficiency:

[0051]

[0052] Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

[0053] Optionally, the charging load adding module includes:

[0054] The fixed charging power calculation module is used to obtain the charging power of each non-dispatchable vehicle based on the charging information of the non-dispatchable vehicle:

[0055]

[0056] Among them, P i,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmax is the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle;

[0057] A fixed charging load calculation module, used to calculate a first charging load according to the charging power of the non-dispatched vehicle;

[0058] The load correction module is used to correct the first load curve according to the first charging load to obtain a second load curve.

[0059] Optionally, the absolute values ​​of the charging power and the discharging power of the dispatchable vehicle are equal;

[0060] The scheduling module includes:

[0061] A primary scheduling time period determination module is used to determine a target time period according to the latest stop time of the dispatchable vehicles;

[0062] The objective function establishment module is used to discretize the target time period according to the preset duration, and establish the objective function based on the goals of stabilizing grid fluctuations and minimizing charging costs:

[0063] Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; CP t is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle;

[0064] A constraint condition determination module, used to establish constraint conditions according to the charging information of dispatchable vehicles;

[0065] The control signal solving module takes the charge and discharge state of each dispatchable vehicle in each discrete time period as a variable, and solves the problem through a linear programming algorithm according to the objective function and the constraint conditions to obtain the charge and discharge state of each dispatchable vehicle in each discrete time period;

[0066] The control module is used to determine the charging and discharging power of each dispatchable vehicle according to the charging and discharging status of the vehicle.

[0067] Beneficial effects of the present invention:

[0068] The present invention proposes a method for scheduling charging and discharging of electric vehicles, which includes: predicting a first load curve of a target power grid according to historical power data of the target power grid; acquiring charging information of a plurality of charging vehicles; dividing the charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to the charging information of the charging vehicles; determining the charging power of the non-dispatchable vehicles according to the charging information of the non-dispatchable vehicles, and correcting the first load curve to obtain a second load curve; and determining the charging and discharging power of the dispatchable vehicles according to the charging information of the dispatchable vehicles and the second load curve.

[0069] By predicting and correcting the load curve, combined with the charging and discharging power dispatching of dispatchable vehicles, the system can fill the valley during the low load period of the power grid, and cut the peak during the peak period. By comprehensively utilizing the charging and discharging capabilities of electric vehicles, the fluctuations of the power grid can be effectively stabilized, significantly improving the stability and reliability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The present invention will be further described below in conjunction with the accompanying drawings.

[0071] Figure 1 A flow chart of a method for scheduling charging and discharging of an electric vehicle is provided for an embodiment of the present invention;

[0072] Figure 2 A structural diagram of a charging and discharging scheduling device for an electric vehicle is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0073] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] The embodiment of the present invention provides a method for scheduling charging and discharging of electric vehicles. Figure 1 , Figure 1 A flowchart of a method for scheduling charging and discharging of electric vehicles is provided for an embodiment of the present invention. The method comprises the following steps:

[0075] S101, predicting a first load curve of a target power grid according to historical power data of the target power grid.

[0076] S102, obtaining charging information of a plurality of charging vehicles.

[0077] S103, classifying the charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to the charging information of the charging vehicles.

[0078] S104, determining the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and correcting the first load curve to obtain a second load curve.

[0079] S105, determining the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve.

[0080] Based on an electric vehicle charging and discharging scheduling method provided by an embodiment of the present invention, by predicting and correcting the load curve and combining the charging and discharging power scheduling of dispatchable vehicles, the system can fill the valley during the low load period of the power grid and cut the peak during the peak period. By comprehensively utilizing the charging and discharging capabilities of electric vehicles, the fluctuation of the power grid can be effectively stabilized, significantly improving the stability and reliability of the power grid.

[0081] In one embodiment, the charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles;

[0082] Step S103 includes:

[0083] Step 1: If the discharge authorization information of the target vehicle is no, the target vehicle is classified as a first type of non-dispatchable vehicle.

[0084] Step 2: If the discharge authorization information of the target vehicle is yes, the charging environment temperature of the target vehicle is obtained, and the charging efficiency of the target vehicle is determined according to the charging environment temperature.

[0085] Step 3: Calculate the minimum expected charging power of the target vehicle based on the charging efficiency.

[0086] Step 4: If the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power, the target vehicle is classified as a second type of undispatched vehicle.

[0087] The target vehicle is any one of the multiple charging vehicles; the minimum expected charging power is the minimum power that ensures that the target vehicle reaches the expected state of charge at the departure time.

[0088] In one implementation, by evaluating vehicles in multiple dimensions, it is possible to quickly determine which vehicles have the flexibility to be dispatched and which vehicles cannot be dispatched due to certain limitations (such as short charging time, high power demand, etc.). This helps reduce unnecessary dispatch attempts and improves overall dispatch efficiency.

[0089] In one embodiment, the charging information of each charging vehicle further includes maximum charging power, maximum discharging power, battery rated capacity, initial state of charge, and access time;

[0090] According to the charging efficiency, the calculation of the minimum expected charging power of the target vehicle includes:

[0091] According to the charging information and charging efficiency of the target vehicle, calculate the minimum expected charging power:

[0092]

[0093] Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

[0094] In one implementation, when the temperature is too low or too high, the same charging power will result in a lower charging amount. By using the charging efficiency corrected by the ambient temperature, the charging time or the minimum expected charging power of the target vehicle can be calculated more accurately.

[0095] In one embodiment, step S104 includes:

[0096] According to the charging information of the non-dispatchable vehicles, the charging power of each non-dispatchable vehicle is obtained:

[0097]

[0098] Among them, Pi,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmax is the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle.

[0099] A first charging load is calculated according to the charging power of the non-dispatchable vehicles.

[0100] According to the first charging load, the first load curve is corrected to obtain a second load curve.

[0101] In one implementation, by correcting the load curve through non-dispatchable vehicles, the load characteristics of the power grid can be understood more accurately, thereby providing a data basis for the subsequent optimization of charging and discharging distribution of dispatchable vehicles.

[0102] In one embodiment, the absolute values ​​of the charging power and the discharging power of the dispatchable vehicle are constant;

[0103] Step S105 includes:

[0104] Step 1: Determine the target time period based on the latest stopping time of the dispatchable vehicles.

[0105] Step 2: Discretize the target time period according to the preset duration, and establish the objective function based on the goals of stabilizing grid fluctuations and minimizing charging costs:

[0106] Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; CP t is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle.

[0107] Step three: Establish constraint conditions based on the charging information of dispatchable vehicles.

[0108] Step 4: Take the charge and discharge status of each dispatchable vehicle in each discrete time period as a variable, and solve it through a linear programming algorithm according to the objective function and constraints to obtain the charge and discharge status of each dispatchable vehicle in each discrete time period.

[0109] Step five: determine the charging and discharging power of each dispatchable vehicle according to its charging and discharging status.

[0110] In one implementation, by minimizing grid fluctuations as part of the objective function, the smooth operation of the grid load can be ensured. Especially during peak hours, by scheduling the charging and discharging status of electric vehicles, the grid load can be effectively balanced and the impact of load fluctuations on grid stability can be reduced.

[0111] In one implementation, the maximum charging power of the dispatchable vehicle may be used as its charging power.

[0112] In one implementation, by incorporating minimization of charging costs into the objective function, the method can minimize the charging costs of electric vehicles while ensuring that the power grid fluctuates smoothly. This means a more economical charging method for car owners, while also meeting the social needs of energy conservation and emission reduction.

[0113] In one implementation, parameters such as weight coefficients and lengths of discrete time periods can be flexibly adjusted according to the actual conditions and needs of the power grid.

[0114] In one implementation, the charge and discharge status of the dispatchable charging vehicle can take values ​​of 1, 0, and -1. 1 represents charging, -1 represents discharging, and 0 represents neither charging nor discharging.

[0115] In one implementation, the constraints include , S i,0 is the first safety threshold, which means that the state of charge of the ith electric vehicle cannot be less than the first safety threshold, which can be 15%; S i,1 It is the second safety threshold, which means that the state of charge of the ith electric vehicle cannot be greater than the second safety threshold, which can be 90%. The two safety thresholds are set to extend the battery life.

[0116] The embodiment of the present invention provides a charging and discharging scheduling device for electric vehicles. Figure 2 , Figure 2 The present invention provides a structural diagram of an electric vehicle charging and discharging scheduling device. The device includes:

[0117] A first load determination module, configured to predict a first load curve of a target power grid according to historical power data of the target power grid;

[0118] A charging information acquisition module, used to acquire charging information of multiple charging vehicles;

[0119] A classification module, used for classifying charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to charging information of the charging vehicles;

[0120] A charging load adding module, used to determine the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and to correct the first load curve to obtain a second load curve;

[0121] The scheduling module is used to determine the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve.

[0122] Based on an electric vehicle charging and discharging scheduling device provided by an embodiment of the present invention, by predicting and correcting the load curve and combining the charging and discharging power scheduling of dispatchable vehicles, the system can fill the valley during the low load period of the power grid and cut the peak during the peak period. By comprehensively utilizing the charging and discharging capabilities of electric vehicles, the fluctuation of the power grid can be effectively stabilized, significantly improving the stability and reliability of the power grid.

[0123] In one embodiment, the charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles;

[0124] The classification modules include:

[0125] A first-category non-dispatchable vehicle determination module, used to classify the target vehicle as a first-category non-dispatchable vehicle if the discharge authorization information of the target vehicle is no; the target vehicle is any one of the multiple charging vehicles;

[0126] A charging efficiency correction module, for obtaining the charging environment temperature of the target vehicle if the discharge authorization information of the target vehicle is yes, and determining the charging efficiency of the target vehicle according to the charging environment temperature;

[0127] The minimum power calculation module is used to calculate the minimum expected charging power of the target vehicle according to the charging efficiency; the minimum expected charging power is the minimum power to ensure that the target vehicle reaches the expected state of charge at the departure time;

[0128] The second type of undispatched vehicle determination module is used to classify the target vehicle as a second type of undispatched vehicle if the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power.

[0129] In one embodiment, the charging information of each charging vehicle further includes maximum charging power, maximum discharging power, battery rated capacity, initial state of charge, and access time;

[0130] The minimum power calculation module includes:

[0131] The expected power calculation module is used to calculate the minimum expected charging power based on the charging information and charging efficiency of the target vehicle:

[0132]

[0133] Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

[0134] In one embodiment, the charging load adding module includes:

[0135] The fixed charging power calculation module is used to obtain the charging power of each non-dispatchable vehicle based on the charging information of the non-dispatchable vehicle:

[0136]

[0137] Among them, P i,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmax is the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle;

[0138] A fixed charging load calculation module, used to calculate a first charging load according to the charging power of the non-dispatched vehicle;

[0139] The load correction module is used to correct the first load curve according to the first charging load to obtain a second load curve.

[0140] In one embodiment, the absolute values ​​of the charging power and the discharging power of the dispatchable vehicles are equal;

[0141] The scheduling module includes:

[0142] A primary scheduling time period determination module is used to determine a target time period according to the latest stop time of the dispatchable vehicles;

[0143] The objective function establishment module is used to discretize the target time period according to the preset duration, and establish the objective function based on the goals of stabilizing grid fluctuations and minimizing charging costs:

[0144] Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; Ct is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle;

[0145] A constraint condition determination module, used to establish constraint conditions according to the charging information of dispatchable vehicles;

[0146] The control signal solving module takes the charge and discharge state of each dispatchable vehicle in each discrete time period as a variable, and solves it through a linear programming algorithm according to the objective function and constraints to obtain the charge and discharge state of each dispatchable vehicle in each discrete time period;

[0147] The control module is used to determine the charging and discharging power of each dispatchable vehicle according to the charging and discharging status of the vehicle.

[0148] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for scheduling charging and discharging of electric vehicles, characterized in that: The method comprises: Predicting a first load curve of the target power grid according to historical power data of the target power grid; Obtain charging information of multiple charging vehicles; According to the charging information of the charging vehicles, the charging vehicles are divided into non-dispatchable vehicles and dispatchable vehicles; Determining the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and correcting the first load curve to obtain a second load curve; Determining the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve; The charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles; The method of classifying the charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to the charging information of the charging vehicles includes: If the discharge authorization information of the target vehicle is no, the target vehicle is classified as a first type of non-dispatchable vehicle; the target vehicle is any one of a plurality of charging vehicles; If the discharge authorization information of the target vehicle is yes, obtaining the charging environment temperature of the target vehicle, and determining the charging efficiency of the target vehicle according to the charging environment temperature; Calculating the minimum expected charging power of the target vehicle according to the charging efficiency; the minimum expected charging power is the minimum power that ensures that the target vehicle reaches the expected state of charge at the departure time; If the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power, the target vehicle is classified as a second type of non-dispatchable vehicle.

2. The method for scheduling charging and discharging of electric vehicles according to claim 1, characterized in that: The charging information of each charging vehicle also includes the maximum charging power, the maximum discharging power, the battery rated capacity, the initial state of charge, and the access time; Calculating the minimum expected charging power of the target vehicle according to the charging efficiency includes: According to the charging information of the target vehicle and the charging efficiency, the minimum expected charging power is calculated: Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

3. The method for scheduling charging and discharging of electric vehicles according to claim 1, characterized in that: The step of determining the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle and correcting the first load curve to obtain the second load curve comprises: According to the charging information of the non-dispatchable vehicles, the charging power of each non-dispatchable vehicle is obtained: P i,usc =min{P i，cmax ,P i,mc } Among them, P i,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmax is the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle; Calculating a first charging load according to the charging power of the non-dispatchable vehicle; The first load curve is corrected according to the first charging load to obtain a second load curve.

4. The method for scheduling charging and discharging of electric vehicles according to claim 1, characterized in that: The absolute values ​​of the charging power and the discharging power of the dispatchable vehicle are constant; The determining the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve comprises: Determine the target time period based on the latest stopping time of the dispatchable vehicles; The target time period is discretized according to the preset duration, and the objective function is established based on the goals of stabilizing grid fluctuations and minimizing charging costs: Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; CP t is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle; Establish constraint conditions based on the charging information of dispatchable vehicles; Taking the charge and discharge state of each dispatchable vehicle in each discrete time period as a variable, solving the problem through a linear programming algorithm according to the objective function and the constraint conditions, the charge and discharge state of each dispatchable vehicle in each discrete time period is obtained; The charging and discharging power of each dispatchable vehicle is determined according to its charging and discharging status.

5. An electric vehicle charging and discharging scheduling device, characterized in that: The device comprises: A first load determination module, configured to predict a first load curve of the target power grid according to historical power data of the target power grid; A charging information acquisition module, used to acquire charging information of multiple charging vehicles; A classification module, used for classifying charging vehicles into non-dispatchable vehicles and dispatchable vehicles according to charging information of the charging vehicles; A charging load adding module, used to determine the charging power of the non-dispatchable vehicle according to the charging information of the non-dispatchable vehicle, and to correct the first load curve to obtain a second load curve; A scheduling module, configured to determine the charging and discharging power of the dispatchable vehicle according to the charging information of the dispatchable vehicle and the second load curve; The charging information of each charging vehicle includes discharge authorization information, expected state of charge and departure time; the non-dispatchable vehicles include first-category non-dispatchable vehicles and second-category non-dispatchable vehicles; The classification module comprises: A first-category non-dispatchable vehicle determination module, configured to classify a target vehicle as a first-category non-dispatchable vehicle if the discharge authorization information of the target vehicle is no; the target vehicle is any one of a plurality of charging vehicles; A charging efficiency correction module, for obtaining the charging environment temperature of the target vehicle if the discharge authorization information of the target vehicle is yes, and determining the charging efficiency of the target vehicle according to the charging environment temperature; A minimum power calculation module, used to calculate the minimum expected charging power of the target vehicle according to the charging efficiency; the minimum expected charging power is the minimum power to ensure that the target vehicle reaches the expected state of charge at the departure time; The second category non-dispatchable vehicle determination module is used to classify the target vehicle as a second category non-dispatchable vehicle if the minimum expected charging power of the target vehicle is greater than or equal to its maximum charging power.

6. The electric vehicle charging and discharging scheduling device according to claim 5, characterized in that: The charging information of each charging vehicle also includes the maximum charging power, the maximum discharging power, the battery rated capacity, the initial state of charge, and the access time; The minimum power calculation module comprises: The expected power calculation module is used to calculate the minimum expected charging power according to the charging information of the target vehicle and the charging efficiency: Among them, P mc is the minimum expected charging power that meets the expected state of charge of the target vehicle; S1 is the expected state of charge of the target vehicle; S0 is the initial state of charge of the target vehicle; C is the rated capacity of the battery of the target vehicle; t out is the access time of the target vehicle; t in is the departure time of the target vehicle; u is the charging efficiency of the target vehicle.

7. The electric vehicle charging and discharging scheduling device according to claim 5, characterized in that: The charging load adding module comprises: The fixed charging power calculation module is used to obtain the charging power of each non-dispatchable vehicle based on the charging information of the non-dispatchable vehicle: P i,usc =min{P i,cmax ,P i,mc } Among them, P i,usc is the charging power of the i-th non-dispatchable vehicle; P i,cmax is the maximum charging power of the i-th non-dispatchable vehicle; P i,mc is the minimum expected charging power of the i-th non-dispatchable vehicle; A fixed charging load calculation module, used to calculate a first charging load according to the charging power of the non-dispatched vehicle; The load correction module is used to correct the first load curve according to the first charging load to obtain a second load curve.

8. The electric vehicle charging and discharging scheduling device according to claim 5, characterized in that: The absolute values ​​of the charging power and the discharging power of the dispatchable vehicle are equal; The scheduling module includes: A primary scheduling time period determination module is used to determine a target time period according to the latest stop time of the dispatchable vehicles; The objective function establishment module is used to discretize the target time period according to the preset duration, and establish the objective function based on the goals of stabilizing grid fluctuations and minimizing charging costs: Among them, f is the function name; w1 and w2 are weight coefficients; N t is the number of discrete time periods; N v is the number of electric vehicles connected to the grid during period t; PL t is the reference load provided by the second load curve; P j,t is the charging and discharging status of the jth dispatchable charging vehicle in period t; is the average load during the target time period; CP t is the electricity price during period t; PCD j is the absolute value of the charging power of the jth dispatchable charging vehicle; A constraint condition determination module, used to establish constraint conditions according to the charging information of dispatchable vehicles; The control signal solving module takes the charge and discharge state of each dispatchable vehicle in each discrete time period as a variable, and solves the problem through a linear programming algorithm according to the objective function and the constraint conditions to obtain the charge and discharge state of each dispatchable vehicle in each discrete time period; The control module is used to determine the charging and discharging power of each dispatchable vehicle according to the charging and discharging status of the vehicle.

Images