Method and device for determining a dispatchable capacity of a charging resource

By determining the functional relationship of electric vehicles during charging or discharging, the problem of the inability to assess power consumption in existing technologies is solved, and efficient scheduling of electric vehicle charging and discharging resources is achieved.

CN117382466BActive Publication Date: 2025-10-21STATE GRID BEIJING ELECTRIC POWER CO +1
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Patent Information

Application Number
CN202311353027.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-18
Publication Date
2025-10-21
Estimated Expiration
2043-10-18

AI Technical Summary

Technical Problem

Existing technologies are unable to effectively evaluate the power consumption of electric vehicles during charging and discharging, resulting in the inability to efficiently schedule charging resources.

Method used

By determining the functional relationship between electric vehicles during charging or discharging, including the lower and upper bounds of time and energy consumption, the available energy can be evaluated, enabling efficient scheduling of electric vehicles during charging and discharging.

Benefits of technology

It enables the assessment of electricity consumption during the charging and discharging process of electric vehicles, thereby achieving efficient scheduling of charging resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a method and device for determining the schedulable capacity of charging resources. The method comprises: determining a first function and a second function corresponding to a first electric vehicle in a charging duration; determining a third function and a fourth function corresponding to a second electric vehicle in a charging and discharging duration; determining the schedulable electric quantity of the first electric vehicle at a first target moment according to the first function and the second function, wherein the first target moment is any moment in the charging duration; and determining the schedulable electric quantity of the second electric vehicle at a second target moment according to the third function and the fourth function, wherein the second target moment is any moment in the charging and discharging duration. The application solves the technical problem that the charging resources in the charging and discharging process of the electric vehicle cannot be efficiently scheduled due to the fact that the related art cannot evaluate the consumed electric quantity in the charging and discharging process of the electric vehicle.
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Description

Technical Field

[0001] The present application relates to the field of new energy technology, and more specifically, to a method and device for determining the dispatchable capacity of charging resources. Background Art

[0002] As a new mode of transportation, electric vehicles are also distributed power loads with energy storage capabilities. They not only respond to policy requirements for energy conservation and emission reduction, but also reduce dependence on traditional fossil fuels. They are an important component of the energy internet. By supporting the development of multi-energy interactive technologies to support the large-scale development of electric vehicles, we can realize a smart energy system centered on photovoltaics, battery energy storage, and orderly charging of electric vehicles, as well as the interaction between distributed resources and the power grid. This will improve the grid's carrying capacity for electric vehicle loads and its ability to absorb renewable energy. At the same time, by establishing scientific planning methods, we can improve the investment returns and operating efficiency of distributed smart energy systems, thereby enhancing the economic efficiency of the energy system.

[0003] The evaluation of the dispatchable interaction potential of relevant electric vehicle charging resources is mainly conducted on vehicles that are spatially dispersed and not charged. In practice, the vehicle response and the execution of power strategies cannot be guaranteed.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The embodiments of the present application provide a method and device for determining the dispatchable capacity of charging resources, so as to at least solve the technical problem that the charging resources cannot be efficiently dispatched during the charging and discharging process of electric vehicles due to the inability of related technologies to evaluate the power consumption during the charging and discharging process of electric vehicles.

[0006] According to one aspect of an embodiment of the present application, a method for determining the dispatchable capacity of a charging resource is provided, comprising: determining a first function and a second function corresponding to a first electric vehicle within a charging duration, wherein the first function is used to characterize the relationship between time and a lower bound of a first power consumption, and the second function is used to characterize the relationship between time and an upper bound of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; determining a third function and a fourth function corresponding to a second electric vehicle within a charging and discharging duration, wherein the third function is used to characterize the relationship between time and a lower bound of a second power consumption, and the fourth function is used to characterize the relationship between time and an upper bound of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; determining the dispatchable power of the first electric vehicle at a first target moment based on the first function and the second function, wherein the first target moment is any moment within the charging duration; determining the dispatchable power of the second electric vehicle at a second target moment based on the third function and the fourth function, wherein the second target moment is any moment within the charging and discharging duration.

[0007] Optionally, determining the first function and the second function corresponding to the first electric vehicle within the charging time includes: determining the first function according to the first power, the second power, the first preset minimum charging power, the first rated charging power, the first charging efficiency, the charging start time and the charging end time of the first electric vehicle, wherein the first power is the power of the first electric vehicle at the start time of charging, and the second power is the power of the first electric vehicle at the end time of charging; determining the second function according to the first rated charging power, the first charging efficiency, the first preset maximum charging power and the first power of the first electric vehicle.

[0008] Optionally, determining the third function and the fourth function corresponding to the second electric vehicle within the charging and discharging time includes: determining the third function according to the third power, the fourth power, the second preset minimum charging power, the rated discharge power, the second rated charging power, the second charging efficiency, the start time of charging and discharging, and the end time of charging and discharging of the second electric vehicle, wherein the third power is the power of the second electric vehicle at the start time of charging and discharging, and the fourth power is the power of the second electric vehicle at the end time of charging and discharging; determining the fourth function according to the second rated charging power, the second charging efficiency, the second preset maximum charging power and the third power of the second electric vehicle.

[0009] Optionally, a first power boundary of the first electric vehicle within the charging time is determined; a second power boundary of the second electric vehicle within the charging and discharging time is determined; based on the first power boundary, the dispatchable power of the first electric vehicle at the first target time is determined; based on the second power boundary, the dispatchable power of the second electric vehicle at the second target time is determined.

[0010] Optionally, determining a first power boundary of the first electric vehicle within the charging time includes: determining the first power lower limit as 0; determining a first power upper limit based on the first rated charging power; determining a second power boundary of the second electric vehicle within the charging and discharging time includes: determining the second power lower limit as 0; and determining the second power upper limit based on the rated discharge power.

[0011] Optionally, the charging time of the first electric vehicle is divided into x first preset time periods, and a first function of time and a lower bound of the first power consumption and a second function of time and an upper bound of the first power consumption are determined for the first electric vehicle in each of the x first preset time periods, wherein x is a positive integer determined according to the charging resource scheduling system to be connected to the first electric vehicle; the charging and discharging time of the second electric vehicle is divided into y second preset time periods, and a third function of time and a lower bound of the second power consumption and a fourth function of time and an upper bound of the second power consumption are determined for each of the y second preset time periods, wherein y is a positive integer determined according to the charging resource scheduling system to be connected to the second electric vehicle; based on the first function and the second function, the dispatchable power of the first electric vehicle at a third target moment is determined, wherein the third target moment is any moment within each of the first preset time period; based on the third function and the fourth function, the dispatchable power of the second electric vehicle at a fourth target moment is determined, wherein the fourth target moment is any moment within each of the second preset time period.

[0012] Optionally, in the case where there are multiple electric vehicles, the power lower bound and power upper bound of each electric vehicle in the multiple electric vehicles are determined separately, and the power consumption lower bound and power consumption upper bound of each electric vehicle are determined separately, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; the power lower bound and power upper bound of each electric vehicle are summed separately to obtain the total power lower bound and the total power upper bound; the power consumption lower bound and power consumption upper bound of each electric vehicle are summed separately to obtain the total power consumption lower bound and the total power consumption upper bound; it is determined that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound; it is determined that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power consumption upper bound.

[0013] According to another aspect of the embodiments of the present application, a device for determining the dispatchable capacity of charging resources is further provided, including: a first determination module, used to determine a first function and a second function corresponding to a first electric vehicle within a charging duration, wherein the first function is used to characterize the relationship between time and a lower bound of a first power consumption, and the second function is used to characterize the relationship between time and an upper bound of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; a second determination module, used to determine a third function and a fourth function corresponding to a second electric vehicle within a charging and discharging duration, wherein the third function is used to characterize the relationship between time and a lower bound of a second power consumption, and the fourth function is used to characterize the relationship between time and an upper bound of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; a third determination module, used to determine the dispatchable power of the first electric vehicle at a first target moment based on the first function and the second function, wherein the first target moment is any moment within the charging duration; a fourth determination module, used to determine the dispatchable power of the second electric vehicle at a second target moment based on the third function and the fourth function, wherein the second target moment is any moment within the charging and discharging duration.

[0014] Optionally, the first determination module is further used to determine a first function based on the first power, the second power, the first preset minimum charging power, the first rated charging power, the first charging efficiency, the charging start time and the charging end time of the first electric vehicle, wherein the first power is the power of the first electric vehicle at the start time of charging, and the second power is the power of the first electric vehicle at the end time of charging; and the second function is determined based on the first rated charging power, the first charging efficiency, the first preset maximum charging power and the first power of the first electric vehicle.

[0015] Optionally, the second determination module is further used to determine a third function based on the third power level, fourth power level, second preset minimum charging power level, rated discharge power, second rated charging power, second charging efficiency, charging and discharging start time, and charging and discharging end time of the second electric vehicle, wherein the third power level is the power level of the second electric vehicle at the start time of charging and discharging, and the fourth power level is the power level of the second electric vehicle at the end time of charging and discharging; and the fourth function is determined based on the second rated charging power, second charging efficiency, second preset maximum charging power level, and third power level of the second electric vehicle.

[0016] Optionally, the fifth determination module is used to determine a first power boundary of the first electric vehicle within the charging time; determine a second power boundary of the second electric vehicle within the charging and discharging time; determine the dispatchable power of the first electric vehicle at the first target time based on the first power boundary; and determine the dispatchable power of the second electric vehicle at the second target time based on the second power boundary.

[0017] Optionally, the fifth determination module is further used to determine the first power lower limit as 0; determine the first power upper limit based on the first rated charging power; the fifth determination module is further used to determine the second power lower limit as 0; determine the second power upper limit based on the rated discharge power.

[0018] Optionally, a sixth determination module is configured to divide the charging time of the first electric vehicle into x first preset time periods, and respectively determine a first function of time and a lower bound of the first power consumption, and a second function of time and an upper bound of the first power consumption, for the first electric vehicle in each of the x first preset time periods, wherein x is a positive integer determined according to the charging resource scheduling system to be connected to the first electric vehicle; divide the charging and discharging time of the second electric vehicle into y second preset time periods, and respectively determine a third function of time and a lower bound of the second power consumption, and a fourth function of time and an upper bound of the second power consumption, for each of the y second preset time periods, wherein y is a positive integer determined according to the charging resource scheduling system to be connected to the second electric vehicle; determine, according to the first function and the second function, the dispatchable power of the first electric vehicle at a third target moment, wherein the third target moment is any moment within each of the first preset time periods; and determine, according to the third function and the fourth function, the dispatchable power of the second electric vehicle at a fourth target moment, wherein the fourth target moment is any moment within each of the second preset time periods.

[0019] Optionally, the seventh determination module is used to determine the power lower bound and power upper bound of each electric vehicle in the case where there are multiple electric vehicles, and determine the power consumption lower bound and power consumption upper bound of each electric vehicle, respectively, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; sum the power lower bound and power upper bound of each electric vehicle to obtain the total power lower bound and the total power upper bound; sum the power consumption lower bound and power consumption upper bound of each electric vehicle to obtain the total power consumption lower bound and the total power consumption upper bound; determine that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound; determine that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound. According to another aspect of the embodiment of the present application, a non-volatile storage medium is also provided, the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above method for determining the dispatchable capacity of charging resources.

[0020] According to another aspect of the embodiments of the present application, an electronic device is provided, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program executes the above method for determining the schedulable capacity of charging resources when running.

[0021] In the embodiment of the present application, a first function and a second function corresponding to the first electric vehicle within the charging time are determined, wherein the first function is used to characterize the relationship between time and the lower limit of the first power consumption, and the second function is used to characterize the relationship between time and the upper limit of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; a third function and a fourth function corresponding to the second electric vehicle within the charging and discharging time are determined, wherein the third function is used to characterize the relationship between time and the lower limit of the second power consumption, and the fourth function is used to characterize the relationship between time and the upper limit of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; based on the first function and the second function, the dispatchable power of the first electric vehicle at the first target time is determined. , wherein the first target moment is any moment within the charging time; according to the third function and the fourth function, the dispatchable power of the second electric vehicle at the second target moment is determined, wherein the second target moment is any moment within the charging and discharging time. By determining the dispatchable power of the electric vehicle at the target moment according to the function corresponding to time and power consumption, the purpose of evaluating the power consumption during the charging and discharging process of the electric vehicle is achieved, thereby achieving the technical effect of efficiently dispatching the charging resources during the charging and discharging process of the electric vehicle, and further solving the technical problem of being unable to efficiently dispatch the charging resources during the charging and discharging process of the electric vehicle due to the inability of related technologies to evaluate the power consumption during the charging and discharging process of the electric vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 is a flow chart of a method for determining the dispatchable capacity of charging resources according to an embodiment of the present application;

[0024] Figure 2 is a schematic diagram of a first function and a second function according to an embodiment of the present application;

[0025] Figure 3 is a schematic diagram of a third function and a fourth function according to an embodiment of the present application;

[0026] Figure 4 is a structural diagram of a device for determining the dispatchable capacity of charging resources according to an embodiment of the present application;

[0027] Figure 5 This is a hardware structure block diagram of a computer terminal (or electronic device) according to a method for determining the schedulable capacity of charging resources in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings 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 in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] According to an embodiment of the present application, a method embodiment of a method for determining the dispatchable capacity of a charging resource is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] Figure 1 is a flow chart of a method for determining the dispatchable capacity of charging resources according to an embodiment of the present application, such as Figure 1 As shown, the method includes the following steps:

[0032] Step S102, determining a first function and a second function corresponding to the charging time of the first electric vehicle, wherein the first function is used to characterize the relationship between time and a lower limit of a first power consumption, and the second function is used to characterize the relationship between time and an upper limit of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge.

[0033] Electric vehicles that do not support discharge are those that do not store and release energy through the vehicle itself. These vehicles charge their batteries with electricity from an external power source, which then converts the stored energy into mechanical energy to propel the vehicle. These electric vehicles do not support discharge, meaning they cannot release the energy from their batteries or convert the vehicle's kinetic energy into electrical energy for storage.

[0034] Step S104, determining a third function and a fourth function corresponding to the charging and discharging time of the second electric vehicle, wherein the third function is used to characterize the relationship between time and the lower limit of the second power consumption, and the fourth function is used to characterize the relationship between time and the upper limit of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge.

[0035] Electric vehicles that support discharge, such as those supporting V2G (Vehicle-to-Grid), refer to the use of electric vehicle battery energy for grid services. V2G technology allows for a two-way energy exchange between electric vehicles and the grid. When needed, electric vehicles can release energy stored in their batteries to the grid, providing power to the grid. When the electric vehicle does not need energy, the grid can charge the electric vehicle's batteries to store energy. Through V2G technology, electric vehicles can become part of the grid, participating in power dispatch and energy balancing, improving grid stability and reliability. V2G technology can also provide additional economic benefits for electric vehicle owners. By participating in grid dispatch and energy markets, owners can sell excess electricity to the grid or participate in electricity market transactions.

[0036] Step S106 : determining the dispatchable amount of power of the first electric vehicle at a first target time according to the first function and the second function, wherein the first target time is any time within the charging time.

[0037] Step S108: determining the dispatchable amount of power of the second electric vehicle at a second target time according to the third function and the fourth function, wherein the second target time is any time within the charge and discharge time.

[0038] According to the above steps, the dispatchable power of the electric vehicle at the target time is determined based on the function corresponding to time and power consumption, thereby achieving the purpose of evaluating the power consumption during the charging and discharging process of the electric vehicle, thereby realizing the technical effect of efficiently dispatching the charging resources during the charging and discharging process of the electric vehicle.

[0039] According to some optional embodiments of the present application, determining a first function and a second function corresponding to a first electric vehicle within a charging time includes the following steps: determining the first function based on a first electric power, a second electric power, a first preset minimum charging power, a first rated charging power, a first charging efficiency, a charging start time, and a charging end time of the first electric vehicle, wherein the first electric power is the electric power of the first electric vehicle at the charging start time, and the second electric power is the electric power of the first electric vehicle at the charging end time; determining the second function based on the first rated charging power, the first charging efficiency, the first preset maximum charging power, and the first electric power of the first electric vehicle.

[0040] For When the charging start time arrives, For an electric vehicle that leaves at time (charging end time), when the electric vehicle is not allowed to discharge, the upper and lower bounds of the accumulated power consumption of the electric vehicle over time are as follows: Figure 2 As shown. Figure 2 middle, Indicates the size of the electric vehicle battery capacity (the first preset maximum charging capacity), Indicates the amount of electricity the electric vehicle has when it is connected (the first amount of electricity). represents the minimum amount of electricity (second amount of electricity) that the electric vehicle needs to reach when leaving, η j It is the charging efficiency.

[0041] from Figure 2 It can be seen from the figure that, when only the charging situation is considered, the upper bound of the cumulative power consumption of electric vehicles (the first upper bound of power consumption) is This is in contrast to the fastest electricity consumption trajectory (ABC). On this trajectory, electric vehicles Once connected, it will be charged at rated power until the state of charge reaches the maximum The lower limit of the cumulative power consumption (the first lower limit of power consumption) E j (t) corresponds to another extreme case (ADE): the electric vehicle is not charged after being connected, and when it is close to the time of leaving the electric vehicle When the electric vehicle is charged to the minimum value set by the user at the rated power (First preset minimum charging power).

[0042] The above description can be expressed as follows:

[0043]

[0044]

[0045] According to other optional embodiments of the present application, determining the third function and the fourth function corresponding to the second electric vehicle within the charging and discharging time can be achieved by the following method: determining the third function according to the third power, the fourth power, the second preset minimum charging power, the rated discharge power, the second rated charging power, the second charging efficiency, the start time of charging and discharging, and the end time of charging and discharging of the second electric vehicle, wherein the third power is the power of the second electric vehicle at the start time of charging and discharging, and the fourth power is the power of the second electric vehicle at the end time of charging and discharging; determining the fourth function according to the second rated charging power, the second charging efficiency, the second preset maximum charging power and the third power of the second electric vehicle.

[0046] For When the time (charge and discharge start time) arrives, For an electric vehicle that leaves at time (the end of charging and discharging), when the electric vehicle has V2G capability, the upper and lower bounds of the cumulative power consumption of the electric vehicle over time are as follows: Figure 3 As shown by Figure 3 It can be seen that the upper bound of the cumulative power consumption of electric vehicles with V2G capabilities is the same as that of the electric vehicles only considering charging, and the corresponding trajectory is (ABC). However, the lower bound of the cumulative power consumption is different from that of the case of only considering charging, and its corresponding trajectory is (ADEF). On this trajectory, the electric vehicle After the charging and discharging start time is connected, the rated discharge power Discharge until the initial charge (Third power) until it is empty, when it is close to the time to leave At the end of charging and discharging, the electric vehicle is charged at the rated power. (Second rated charging power) Charge the battery to the minimum value set by the user (Second preset minimum charging power). Therefore, the upper and lower bounds of the power and cumulative power consumption obtained above describe the feasible range of the charging and discharging power of electric vehicles with V2G capabilities over time. The above description can be expressed by the following function:

[0047]

[0048]

[0049] In some optional embodiments of the present application, a first power boundary of the first electric vehicle within the charging time is determined; a second power boundary of the second electric vehicle within the charging and discharging time is determined; based on the first power boundary, the dispatchable power of the first electric vehicle at the first target time is determined; based on the second power boundary, the dispatchable power of the second electric vehicle at the second target time is determined.

[0050] As some optional embodiments of the present application, determining a first power boundary of a first electric vehicle within a charging time is achieved by the following method: determining a first power lower boundary as 0; determining a first power upper boundary based on a first rated charging power; determining a second power boundary of a second electric vehicle within a charging and discharging time is achieved by the following method: determining a second power lower boundary as 0; determining a second power upper boundary based on a rated discharge power.

[0051] For Arrival at the time For electric vehicles that leave at any time, if the electric vehicle does not support discharge, the charging power during the docking time can be continuously adjusted from 0 to the rated power. During the non-docking time, the charging power must be strictly 0, so the power boundary Pj (t) and They are:

[0052]

[0053]

[0054] in, is the rated charging power of electric vehicle j.

[0055] For Arrival at the time For an electric vehicle that leaves at any moment, under the condition that the electric vehicle supports discharge, the upper and lower bounds of its power consumption over time can be expressed as:

[0056]

[0057]

[0058] in, is the rated discharge power of the electric vehicle.

[0059] In some optional embodiments of the present application, the charging time of the first electric vehicle is divided into x first preset time periods, and a first function of time and a lower bound of first power consumption and a second function of time and an upper bound of first power consumption are determined for each first preset time period of the x first preset time periods, respectively, where x is a positive integer determined according to a charging resource scheduling system to be connected to the first electric vehicle; the charging and discharging time of the second electric vehicle is divided into y second preset time periods, and a third function of time and a lower bound of second power consumption and a fourth function of time and an upper bound of second power consumption are determined for each second preset time period of the y second preset time periods, respectively, where y is a positive integer determined according to a charging resource scheduling system to be connected to the second electric vehicle; based on the first function and the second function, the dispatchable power of the first electric vehicle at a third target time is determined, respectively, where the third target time is any time within each first preset time period; based on the third function and the fourth function, the dispatchable power of the second electric vehicle at a fourth target time is determined, respectively, where the fourth target time is any time within each second preset time period.

[0060] Optionally, the entire scheduling time window is divided into n1 time periods (x first preset time periods) at a time interval ΔT1, and the charge and discharge adjustable range of an electric vehicle j can be expressed by the power-energy boundary quadruple To express.

[0061] For When the charging start time arrives, For an electric vehicle that leaves at the end of charging, if it does not support discharge, its charging power can be continuously adjusted from 0 to the rated power during the docking time, and its charging power must be strictly 0 during the non-docking time. Therefore, the power boundary P j (t) and They are:

[0062]

[0063]

[0064] For When the charging start time arrives, For an electric vehicle that leaves at time (charging end time), when the electric vehicle is not allowed to discharge, the upper and lower bounds of the accumulated power consumption of the electric vehicle over time are as follows: Figure 2 As shown. Figure 2 middle, Indicates the size of the electric vehicle battery capacity (the first preset maximum charging capacity), Indicates the amount of electricity the electric vehicle has when it is connected (the first amount of electricity). represents the minimum amount of electricity (second amount of electricity) that the electric vehicle needs to reach when leaving, η j It is the charging efficiency.

[0065] from Figure 2 It can be seen that the upper bound of the cumulative power consumption of electric vehicles considering only the charging situation (the first upper bound of power consumption) is This is in contrast to the fastest electricity consumption trajectory (ABC). On this trajectory, electric vehicles Once connected, it will be charged at rated power until the state of charge reaches the maximum The lower limit of the cumulative power consumption (the first lower limit of power consumption) E j (t) corresponds to another extreme case (ADE): the electric vehicle is not charged after being connected, and when it is close to the time of leaving the electric vehicle When the electric vehicle is charged to the minimum value set by the user at the rated power

[0066] The above description can be expressed as follows:

[0067]

[0068]

[0069] Optionally, the entire scheduling time window is divided into n2 time periods at a time interval ΔT2 (the charging and discharging time of the second electric vehicle is divided into y second preset time periods). When the time (charge and discharge start time) arrives, For an electric vehicle that leaves at time (the end of charging and discharging), under the condition that the electric vehicle supports discharge, the upper and lower bounds of its power consumption over time can be expressed as:

[0070]

[0071]

[0072] For When the time (charge and discharge start time) arrives, For an electric vehicle that leaves at time (the end of charging and discharging), when the electric vehicle has V2G capability, the upper and lower bounds of the cumulative power consumption of the electric vehicle over time are as follows: Figure 3 As shown, in Figure 3 In the above example, the upper bound of the cumulative power consumption of electric vehicles with V2G capability is the same as that of the electric vehicles only considering charging, and the corresponding trajectory is (ABC). However, the lower bound of the cumulative power consumption is different from that of the case of only considering charging, and its corresponding trajectory is (ADEF). On this trajectory, electric vehicles After the charging and discharging start time is connected, the rated discharge power Discharge until the initial charge (Third power) until it is empty, when it is close to the time to leave At the end of charging and discharging, the electric vehicle is charged at the rated power. (Second rated charging power) Charge the battery to the minimum value set by the user (First preset minimum charging power). Therefore, the upper and lower bounds of the power and cumulative power consumption obtained above describe the feasible range of the charging and discharging power of electric vehicles with V2G capabilities over time. The above description can be expressed by the following function:

[0073]

[0074]

[0075] As other optional embodiments of the present application, when there are multiple electric vehicles, the power lower bound and power upper bound of each electric vehicle in the multiple electric vehicles are determined separately, and the lower bound and upper bound of power consumption of each electric vehicle are determined separately, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; the power lower bound and the power upper bound of each electric vehicle are summed separately to obtain the total power lower bound and the total power upper bound; the power consumption lower bound and the power consumption upper bound of each electric vehicle are summed separately to obtain the total power consumption lower bound and the total power consumption upper bound; it is determined that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound; it is determined that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound.

[0076] Based on the dispatchability model of a single electric vehicle flexible resource, for the case of aggregating multiple electric vehicles, the upper and lower bounds of the collective average power and the upper and lower bounds of the cumulative power consumption can be used. To describe.

[0077] Specifically, first, the power energy boundary of a single electric vehicle is constructed based on whether the electric vehicle has V2G capability. Then, the upper and lower bounds of the average power and the upper and lower bounds of the cumulative power consumption of all electric vehicles are summed up, namely:

[0078]

[0079]

[0080] Where: A collection of all electric vehicles.

[0081] The total power P(t) of the electric vehicle cluster should satisfy:

[0082]

[0083]

[0084] This application takes into account the relatively random nature of charging behavior of a single electric vehicle and establishes a dispatchable capacity assessment model for electric vehicle charging and discharging based on charging stations. This model obtains the dispatchable capacity boundary at the station level, prepares the constraint conditions for the algorithm model of the subsequent orderly charging scheduling strategy, and achieves a quantitative description of the upper and lower bounds of charging power and energy at the station throughout the day. At the same time, it fully considers the impact of large-scale electric vehicle access on the distribution network under the condition of increasing electric vehicle penetration.

[0085] In the above steps, the aggregate calculation of the adjustable capacity of electric vehicles is realized, and through seamless connection with the peak-shaving market, the demonstration application of electric vehicles participating in the power auxiliary market can be realized.

[0086] Figure 4 is a structural diagram of a device for determining the dispatchable capacity of charging resources according to an embodiment of the present application, such as Figure 4 As shown, the device includes:

[0087] The first determination module 40 is used to determine a first function and a second function corresponding to the charging time of the first electric vehicle, wherein the first function is used to represent the relationship between time and a lower limit of a first power consumption, and the second function is used to represent the relationship between time and an upper limit of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge.

[0088] The first determination module 40 is further used to determine a first function based on the first power level, the second power level, the first preset minimum charging power level, the first rated charging power, the first charging efficiency, the charging start time and the charging end time of the first electric vehicle, wherein the first power level is the power level of the first electric vehicle at the charging start time, and the second power level is the power level of the first electric vehicle at the charging end time; and determine the second function based on the first rated charging power, the first charging efficiency, the first preset maximum charging power level and the first power level of the first electric vehicle.

[0089] The second determination module 42 is used to determine a third function and a fourth function corresponding to the charging and discharging time of the second electric vehicle, wherein the third function is used to characterize the relationship between time and the lower limit of the second power consumption, and the fourth function is used to characterize the relationship between time and the upper limit of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge.

[0090] The second determination module 42 is further used to determine a third function based on the third power level, the fourth power level, the second preset minimum charging power level, the rated discharge power, the second rated charging power, the second charging efficiency, the charge and discharge start time, and the charge and discharge end time of the second electric vehicle, wherein the third power level is the power level of the second electric vehicle at the start time of charge and discharge, and the fourth power level is the power level of the second electric vehicle at the end time of charge and discharge; and the fourth function is determined based on the second rated charging power, the second charging efficiency, the second preset maximum charging power level, and the third power level of the second electric vehicle.

[0091] The third determining module 44 is configured to determine the dispatchable amount of electricity of the first electric vehicle at a first target time according to the first function and the second function, wherein the first target time is any time within the charging duration.

[0092] The fourth determining module 46 is configured to determine the dispatchable amount of electricity of the second electric vehicle at a second target time according to the third function and the fourth function, wherein the second target time is any time within the charging and discharging time.

[0093] It should be noted that the above Figure 4The modules in the embodiment can be program modules (for example, a set of program instructions that implement a specific function) or hardware modules. For the latter, they can be expressed in the following forms, but are not limited to these: the expression form of each of the above modules is a processor, or the functions of each of the above modules are implemented by a processor.

[0094] It should be noted that Figure 4 The preferred implementation of the embodiment shown can be found in Figure 1 The relevant description of the illustrated embodiment will not be repeated here.

[0095] In some optional embodiments, the device for determining the dispatchable capacity of charging resources further includes a fifth determination module, a sixth determination module, and a seventh determination module, wherein:

[0096] The fifth determination module is used to determine a first power boundary of the first electric vehicle within the charging time; determine a second power boundary of the second electric vehicle within the charging and discharging time; determine the dispatchable power of the first electric vehicle at the first target time based on the first power boundary; and determine the dispatchable power of the second electric vehicle at the second target time based on the second power boundary.

[0097] In addition, the fifth determination module is also used to determine the first power lower limit as 0; determine the first power upper limit based on the first rated charging power; the fifth determination module is also used to determine the second power lower limit as 0; determine the second power upper limit based on the rated discharge power.

[0098] The sixth determination module is configured to divide the charging time of the first electric vehicle into x first preset time periods, and respectively determine a first function of time and a lower bound of a first power consumption, and a second function of time and an upper bound of the first power consumption, for the first electric vehicle in each of the x first preset time periods, wherein x is a positive integer determined according to a charging resource scheduling system to be connected to the first electric vehicle; divide the charging and discharging time of the second electric vehicle into y second preset time periods, and respectively determine a third function of time and a lower bound of a second power consumption, and a fourth function of time and an upper bound of a second power consumption, for each of the y second preset time periods, wherein y is a positive integer determined according to a charging resource scheduling system to be connected to the second electric vehicle; determine, based on the first function and the second function, the dispatchable power of the first electric vehicle at a third target moment, wherein the third target moment is any moment within each of the first preset time periods; and determine, based on the third function and the fourth function, the dispatchable power of the second electric vehicle at a fourth target moment, wherein the fourth target moment is any moment within each of the second preset time periods.

[0099] The seventh determination module is used to determine the power lower bound and power upper bound of each electric vehicle in the case where there are multiple electric vehicles, and determine the power consumption lower bound and power consumption upper bound of each electric vehicle, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; sum the power lower bound and power upper bound of each electric vehicle to obtain the total power lower bound and the total power upper bound; sum the power consumption lower bound and power consumption upper bound of each electric vehicle to obtain the total power consumption lower bound and the total power consumption upper bound; determine that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power upper bound; determine that the total power to be dispatched of the multiple electric vehicles is between the total power lower bound and the total power consumption upper bound.

[0100] Figure 5 The hardware structure block diagram of a computer terminal (or mobile device) for implementing a method for determining the dispatchable capacity of charging resources is shown. Figure 5 As shown, the computer terminal 50 (or mobile device) may include one or more (502a, 502b, ..., 502n are shown in the figure) processors 502 (the processor 502 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 504 for storing data, and a transmission module 506 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 5 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 5 More or fewer components than shown, or with Figure 5 Different configurations shown.

[0101] It should be noted that the one or more processors 502 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 50 (or mobile device). As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0102] The memory 504 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for determining the dispatchable capacity of charging resources in the embodiment of the present application. The processor 502 executes various functional applications and data processing by running the software programs and modules stored in the memory 504, that is, implementing the above-mentioned method for determining the dispatchable capacity of charging resources. The memory 504 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 504 may further include a memory remotely located relative to the processor 502, and these remote memories may be connected to the computer terminal 50 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0103] The transmission module 506 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the computer terminal 50. In one embodiment, the transmission module 506 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission module 506 may be a radio frequency (RF) module, which is configured to communicate with the Internet wirelessly.

[0104] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 50 (or mobile device).

[0105] It should be noted that, in some optional embodiments, the above Figure 5 The computer device (or electronic device) shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of hardware elements and software elements. Figure 5 This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the computer device (or electronic device) described above.

[0106] It should be noted that Figure 5 The electronic device shown is used to perform Figure 1 The method for determining the dispatchable capacity of the charging resource shown, therefore the relevant explanations in the execution method of the above command are also applicable to the electronic device and will not be repeated here.

[0107] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute the above method for determining the schedulable capacity of charging resources.

[0108] A program for a non-volatile storage medium to perform the following functions: determining a first function and a second function corresponding to a first electric vehicle within a charging time, wherein the first function is used to characterize the relationship between time and a lower limit of a first power consumption, and the second function is used to characterize the relationship between time and an upper limit of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; determining a third function and a fourth function corresponding to a second electric vehicle within a charging and discharging time, wherein the third function is used to characterize the relationship between time and a lower limit of a second power consumption, and the fourth function is used to characterize the relationship between time and an upper limit of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; determining, based on the first function and the second function, the dispatchable power of the first electric vehicle at a first target moment, wherein the first target moment is any moment within the charging time; determining, based on the third function and the fourth function, the dispatchable power of the second electric vehicle at a second target moment, wherein the second target moment is any moment within the charging and discharging time.

[0109] An embodiment of the present application further provides an electronic device, including: a memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the program executes the above method for determining the schedulable capacity of charging resources when running.

[0110] The processor is used to run a program that performs the following functions: determining a first function and a second function corresponding to the first electric vehicle within the charging time, wherein the first function is used to characterize the relationship between time and the lower limit of the first power consumption, and the second function is used to characterize the relationship between time and the upper limit of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; determining a third function and a fourth function corresponding to the second electric vehicle within the charging and discharging time, wherein the third function is used to characterize the relationship between time and the lower limit of the second power consumption, and the fourth function is used to characterize the relationship between time and the upper limit of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; determining the dispatchable power of the first electric vehicle at a first target moment based on the first function and the second function, wherein the first target moment is any moment within the charging time; determining the dispatchable power of the second electric vehicle at a second target moment based on the third function and the fourth function, wherein the second target moment is any moment within the charging and discharging time.

[0111] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0112] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0114] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0115] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0116] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0117] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the dispatchable capacity of charging resources, characterized in that: include: Determining a first function and a second function corresponding to a charging time of a first electric vehicle, wherein the first function is used to represent a relationship between time and a lower bound of a first power consumption, and the second function is used to represent a relationship between time and an upper bound of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; Determining a third function and a fourth function corresponding to the charge and discharge duration of the second electric vehicle, wherein the third function is used to represent the relationship between time and a lower bound of a second power consumption, and the fourth function is used to represent the relationship between time and an upper bound of the second power consumption, and the second electric vehicle is an electric vehicle that supports discharge; Determining, based on the first function and the second function, the dispatchable amount of electricity of the first electric vehicle at a first target time, wherein the first target time is any time within the charging duration; Determining the dispatchable amount of the second electric vehicle at a second target time according to the third function and the fourth function, wherein the second target time is any time within the charging and discharging time; The charging time of the first electric vehicle is divided into x first preset time periods, and a first function of time and a lower bound of first power consumption and a second function of time and an upper bound of first power consumption are determined for each of the x first preset time periods, wherein x is a positive integer determined according to a charging resource scheduling system to be connected to the first electric vehicle. The charging and discharging time of the second electric vehicle is divided into y second preset time periods, and a third function of time and a lower bound of second power consumption and a fourth function of time and an upper bound of second power consumption are determined for each of the y second preset time periods, wherein y is a positive integer determined according to a charging resource scheduling system to be connected to the second electric vehicle. The dispatchable power of the first electric vehicle at a third target time is determined based on the first function and the second function, wherein the third target time is any time within each of the first preset time periods. The dispatchable power of the second electric vehicle at a fourth target time is determined based on the third function and the fourth function, wherein the fourth target time is any time within each of the second preset time periods.

2. The method according to claim 1, characterized in that Determining a first function and a second function corresponding to a charging time of a first electric vehicle includes: Determine the first function based on a first power level, a second power level, a first preset minimum charging power level, a first rated charging power, a first charging efficiency, a charging start time, and a charging end time of the first electric vehicle, wherein the first power level is the power level of the first electric vehicle at the charging start time, and the second power level is the power level of the first electric vehicle at the charging end time; The second function is determined according to the first rated charging power, the first charging efficiency, the first preset maximum charging power and the first power of the first electric vehicle.

3. The method according to claim 1, characterized in that Determining the third function and the fourth function corresponding to the charging and discharging time of the second electric vehicle includes: Determining the third function based on a third power level, a fourth power level, a second preset minimum charging power level, a rated discharge power, a second rated charging power, a second charging efficiency, a charge and discharge start time, and a charge and discharge end time of the second electric vehicle, wherein the third power level is the power level of the second electric vehicle at the charge and discharge start time, and the fourth power level is the power level of the second electric vehicle at the charge and discharge end time; The fourth function is determined according to the second rated charging power, the second charging efficiency, the second preset maximum charging power and the third power of the second electric vehicle.

4. The method according to claim 1, wherein include: Determining a first power boundary of the first electric vehicle within the charging time; determining a second power boundary of the second electric vehicle within the charging and discharging duration; determining, according to the first power boundary, a dispatchable power of the first electric vehicle at a first target time; The dispatchable power of the second electric vehicle at the second target time is determined according to the second power boundary.

5. The method according to claim 4, characterized in that Determining a first power limit of the first electric vehicle within the charging time includes: Determine the first power lower bound as 0; determine the first power upper bound based on the first rated charging power; Determining a second power boundary of the second electric vehicle within the charging and discharging duration includes: Determine the second power lower bound as 0; The second power upper limit is determined according to the rated discharge power.

6. The method according to claim 1, characterized in that include: In the case where there are multiple electric vehicles, determining a lower bound and an upper bound on the power of each of the multiple electric vehicles, and determining a lower bound and an upper bound on the power consumption of each electric vehicle, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; Summing the power lower bound and the power upper bound of each electric vehicle respectively to obtain a total power lower bound and a total power upper bound; Summing the lower bound and upper bound of power consumption of each electric vehicle to obtain a lower bound and an upper bound of total power consumption; Determine that the total to-be-scheduled power of the plurality of electric vehicles is between the total power lower bound and the total power upper bound; It is determined that the total amount of electricity to be dispatched of the plurality of electric vehicles is between the lower limit of the total amount of electricity consumed and the upper limit of the total amount of electricity consumed.

7. A device for determining the dispatchable capacity of charging resources, characterized in that: include: a first determining module, configured to determine a first function and a second function corresponding to a charging time of a first electric vehicle, wherein the first function is configured to represent a relationship between time and a lower bound of a first power consumption, and the second function is configured to represent a relationship between time and an upper bound of the first power consumption, and the first electric vehicle is an electric vehicle that does not support discharge; a second determining module, configured to determine a third function and a fourth function corresponding to a charge and discharge duration of a second electric vehicle, wherein the third function is configured to represent a relationship between time and a lower bound of a second power consumption, and the fourth function is configured to represent a relationship between time and an upper bound of the second power consumption, and the second electric vehicle is a discharge-supporting electric vehicle; a third determining module, configured to determine, based on the first function and the second function, the dispatchable amount of power of the first electric vehicle at a first target time, wherein the first target time is any time within the charging duration; a fourth determining module, configured to determine, based on the third function and the fourth function, the dispatchable amount of power of the second electric vehicle at a second target time, wherein the second target time is any time within the charging and discharging duration; a sixth determination module, configured to divide the charging duration of the first electric vehicle into x first preset time periods, and respectively determine a first function of time and a lower bound of a first power consumption, and a second function of time and an upper bound of the first power consumption, for each of the x first preset time periods, wherein x is a positive integer determined according to a charging resource scheduling system to be connected to the first electric vehicle; divide the charging and discharging duration of the second electric vehicle into y second preset time periods, and respectively determine a third function of time and a lower bound of a second power consumption, and a fourth function of time and an upper bound of the second power consumption, for each of the y second preset time periods, wherein y is a positive integer determined according to a charging resource scheduling system to be connected to the second electric vehicle; determine, based on the first function and the second function, the dispatchable power of the first electric vehicle at a third target time, wherein the third target time is any time within each of the first preset time periods; and determine, based on the third function and the fourth function, the dispatchable power of the second electric vehicle at a fourth target time, wherein the fourth target time is any time within each of the second preset time periods.

8. The device according to claim 7, characterized in that The first determination module is further used to determine the first function based on the first power, second power, first preset minimum charging power, first rated charging power, first charging efficiency, charging start time and charging end time of the first electric vehicle, wherein the first power is the power of the first electric vehicle at the charging start time, and the second power is the power of the first electric vehicle at the charging end time; the second function is determined based on the first rated charging power, first charging efficiency, first preset maximum charging power and the first power of the first electric vehicle.

9. The device according to claim 7, characterized in that The second determination module is further used to determine the third function based on the third power level, fourth power level, second preset minimum charging power level, rated discharge power, second rated charging power, second charging efficiency, charging and discharging start time, and charging and discharging end time of the second electric vehicle, wherein the third power level is the power level of the second electric vehicle at the charging and discharging start time, and the fourth power level is the power level of the second electric vehicle at the charging and discharging end time; and the fourth function is determined based on the second rated charging power, the second charging efficiency, the second preset maximum charging power level, and the third power level of the second electric vehicle.

10. The device according to claim 7, characterized in that include: The fifth determination module is used to determine a first power boundary of the first electric vehicle within the charging time; determine a second power boundary of the second electric vehicle within the charging and discharging time; determine the dispatchable power of the first electric vehicle at the first target time based on the first power boundary; and determine the dispatchable power of the second electric vehicle at the second target time based on the second power boundary.

11. The device according to claim 10, characterized in that The fifth determining module is further configured to determine the first power lower limit as 0; and determine the first power upper limit according to the first rated charging power; The fifth determining module is further configured to determine the second power lower limit as 0; and determine the second power upper limit according to the rated discharge power.

12. The device according to claim 7, characterized in that include: The seventh determination module is used to determine the power lower bound and power upper bound of each electric vehicle in the case where there are multiple electric vehicles, and determine the power consumption lower bound and power consumption upper bound of each electric vehicle, wherein the electric vehicle is the first electric vehicle or the second electric vehicle; summing the power lower bound and power upper bound of each electric vehicle to obtain the total power lower bound and total power upper bound; summing the power consumption lower bound and power consumption upper bound of each electric vehicle to obtain the total power consumption lower bound and total power consumption upper bound; determining that the total to-be-scheduled power of the multiple electric vehicles is between the total power lower bound and the total power upper bound; determining that the total to-be-scheduled power of the multiple electric vehicles is between the total power lower bound and the total power upper bound.

13. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the method for determining the dispatchable capacity of charging resources according to any one of claims 1 to 6.

14. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the program, when running, executes the method for determining the dispatchable capacity of charging resources according to any one of claims 1 to 6.

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