CN114056185B - Method, system, equipment and medium for controlling charging and discharging of electric vehicle - Google Patents

Method, system, equipment and medium for controlling charging and discharging of electric vehicle Download PDF

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Publication number
CN114056185B
CN114056185B CN202111331209.2A CN202111331209A CN114056185B CN 114056185 B CN114056185 B CN 114056185B CN 202111331209 A CN202111331209 A CN 202111331209A CN 114056185 B CN114056185 B CN 114056185B
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electric vehicle
charge
discharge
electric
discharging
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CN114056185A (en
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刘之亮
陈东
张耀予
吴辰晔
张海
沈灯鸿
赵晨
张然
王波
邸鹏宇
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/50—Charging stations characterised by energy-storage or power-generation means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/64—Optimising energy costs, e.g. responding to electricity rates
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations

Abstract

The invention discloses a control method, a system, equipment and a medium for charging and discharging of an electric vehicle, wherein the method comprises the following steps: constructing an electric vehicle charge-discharge model and an electric power market price model; establishing an electric vehicle charging and discharging game model according to the electric vehicle charging and discharging model and the electric power market price model; performing optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory to obtain a calculation result; and according to the calculation result, obtaining a control method for charging and discharging of the electric vehicle. According to the average field game theory, the method for controlling the charging and discharging behaviors of the large-scale EV is designed, and the charging and discharging efficiency of the electric vehicle is improved while the charging and discharging cost of the electric vehicle is reduced.

Description

Method, system, equipment and medium for controlling charging and discharging of electric vehicle
Technical Field
The invention relates to the technical field of charging and discharging of electric vehicles, in particular to a method, a system, equipment and a medium for controlling charging and discharging of an electric vehicle.
Background
Electric vehicles may provide the grid with the necessary flexibility by being powered from and discharged to the grid through a vehicle-to-grid (V2G) service. However, if the charge and discharge of the electric vehicles cannot be well coordinated, the charge and discharge of a large number of electric vehicles can increase the power demand, and the burden of a power grid is greatly increased. Therefore, the electric vehicles are required to be coordinated and controlled to charge and discharge, peak clipping and valley filling services are provided for the power grid, the cost of the power grid is reduced, and the flexibility required by the power grid is improved.
At present, in the prior art, a control method for charging and discharging behaviors of large-scale electric vehicles connected to a power grid is urgently needed.
Disclosure of Invention
The purpose of the invention is that: the method, the system, the equipment and the medium for controlling the charge and the discharge of the electric vehicle can control the charge and the discharge of the large-scale electric vehicle and improve the charge and the discharge efficiency of the electric vehicle.
In order to achieve the above object, the present invention provides a method for controlling charge and discharge of an electric vehicle, including:
constructing an electric vehicle charge-discharge model and an electric power market price model;
establishing an electric vehicle charging and discharging game model according to the electric vehicle charging and discharging model and the electric power market price model;
performing optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory to obtain a calculation result;
and according to the calculated result, obtaining a control method for charging and discharging of the electric vehicle.
Further, the electric vehicle charge-discharge model specifically adopts the following formula:
Figure BDA0003347474590000021
0≤S i (t)≤B i
a min ≤a i (t)≤a max
S i (T)＝B i
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i Represents the battery capacity of the ith electric vehicle, S i And (T) indicates that the electric vehicle needs to be fully charged when the time period is over. .
Further, the electric power market price model specifically adopts the following calculation formula:
Figure BDA0003347474590000022
Figure BDA0003347474590000023
wherein p (t) represents the price of the power system, D (t) represents the basic demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, and lambda represents the coefficient of charge and discharge loss.
Further, the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
Figure BDA0003347474590000024
Figure BDA0003347474590000025
Figure BDA0003347474590000026
Figure BDA0003347474590000027
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure BDA0003347474590000031
indicating the optimal response of the ith electric vehicle, < >>
Figure BDA0003347474590000032
A set of charge and discharge behaviors of the i-th electric vehicle is shown.
The invention also provides a control system for charging and discharging of the electric vehicle, which comprises: the device comprises a first construction module, a second construction module, a calculation module and a result acquisition module, wherein the first construction module, the second construction module, the calculation module and the result acquisition module are used for acquiring results;
the first construction module is used for constructing an electric vehicle charging and discharging model and an electric power market price model;
the second construction module is used for building an electric vehicle charge-discharge game model according to the electric vehicle charge-discharge model and the electric power market price model;
the calculation module is used for carrying out optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory to obtain a calculation result;
the result acquisition module is used for acquiring a control method of charging and discharging of the electric vehicle according to the calculated result.
Further, the electric vehicle charge-discharge model specifically adopts the following formula:
Figure BDA0003347474590000033
0≤S i (t)≤B i
a min ≤a i (t)≤a max
S i (T)＝B i
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i Represents the battery capacity of the ith electric vehicle, S i And (T) indicates that the electric vehicle needs to be fully charged when the time period is over.
Further, the electric power market price model specifically adopts the following calculation formula:
Figure BDA0003347474590000034
Figure BDA0003347474590000041
wherein p (t) represents the price of the power system, D (t) represents the basic demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, and lambda represents the coefficient of charge and discharge loss.
Further, the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
Figure BDA0003347474590000042
Figure BDA0003347474590000043
Figure BDA0003347474590000044
Figure BDA0003347474590000045
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure BDA0003347474590000046
indicating the optimal response of the ith electric vehicle, < >>
Figure BDA0003347474590000047
A set of charge and discharge behaviors of the i-th electric vehicle is shown.
The invention also provides a computer terminal device, comprising: one or more processors; a memory coupled to the processor for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method for controlling charging and discharging of an electric vehicle according to any one of the above.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of controlling charging and discharging of an electric vehicle as described in any one of the above.
Compared with the prior art, the control method, the system, the equipment and the medium for charging and discharging of the electric vehicle have the beneficial effects that:
firstly, constructing an electric vehicle charge-discharge model and an electric power market price model; then, according to the electric vehicle charge-discharge model and the electric power market price model, an electric vehicle charge-discharge game model is established; and finally solving the electric vehicle charge-discharge game model by adopting an average value field game theory to obtain a control method of electric vehicle charge-discharge. According to the average field game theory, the method for controlling the charging and discharging behaviors of the large-scale EV is designed, and the charging and discharging efficiency of the electric vehicle is improved while the charging and discharging cost of the electric vehicle is reduced.
Drawings
Fig. 1 is a schematic flow chart of a method for controlling charge and discharge of an electric vehicle;
fig. 2 is a schematic structural diagram of a charge-discharge control system of an electric vehicle according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the step numbers used herein are for convenience of description only and are not limiting as to the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As shown in fig. 1, the method for controlling charging and discharging of an electric vehicle provided by the invention at least comprises steps S1-S3, and specifically comprises the following steps:
s1, constructing a charge and discharge model of the electric vehicle and a price model of an electric power market.
Specifically, in a given time period [0, t ], a charge-discharge model of the electric vehicle is constructed, specifically as follows:
within a given period of time, there are N electric vehicles coming to the charging station for charging and at the moment the period of time expires, full charge is required. The electric quantity at the initial moment of these electric vehicles satisfies a specific distribution, for example, a gaussian distribution.
Defining the electric quantity of the ith electric vehicle as S i (t) charging and discharging operations of the electric vehicle are a i (t), the change of the electric quantity of the electric vehicle with time satisfies the following equation:
Figure BDA0003347474590000061
the electric quantity and the charge-discharge behavior of the electric vehicle need to satisfy the following conditions:
0≤S i (t)≤B i 。
a min ≤a i (t)≤a max 。
S i (T)＝B i 。
wherein B is i Is the battery capacity of the ith electric vehicle, a min And a max The minimum speed and the maximum speed of the charge and discharge of the electric vehicle are respectively indicated. For an electric vehicle with V2G function, a min Less than 0. The last equation represents that by the end of the time period, the electric vehicle needs to be fully charged.
It should be noted that the power market price model construction process is as follows:
assuming that the price function p (t) of the power system is a continuous, increasing piecewise linear function f ();
Figure BDA0003347474590000062
here, D (t) is the basic requirement of the power system, e i And (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid. E in consideration of charge and discharge loss i (t) and a i The relationship of (t) is as follows:
Figure BDA0003347474590000063
λ is the coefficient of charge-discharge loss. This means that when the electric vehicle is charged, the amount of charged electricity is smaller than the amount of electricity purchased from the electric grid; when the electric vehicle discharges, the discharged electric quantity is larger than the electric quantity sold to the power grid. Defining the maximum slope in the price function f () as K, then the price function satisfies the K Li Puxi z smoothing:
||f(x 1 )-f(x 2 )||≤K||x 1 -x 2 ||。
and S2, establishing an electric vehicle charge-discharge game model according to the electric vehicle charge-discharge model and the electric power market price model.
Specifically, the charge-discharge game model of the electric vehicle can be simplified into a utility function of the electric vehicle, and certain utility can be obtained from charge and discharge for each electric vehicle. The utility function comprises two parts: the first part is the cost of buying and selling electricity to the grid.
Figure BDA0003347474590000071
The second part is the benefit obtained from charging, and charging at a certain speed can ensure the continuous driving of the electric vehicle, and gamma i Indicating the benefit factor for the i-th vehicle charge and discharge.
Figure BDA0003347474590000072
Thus, the overall utility function of an electric vehicle may be constructed as follows:
Figure BDA0003347474590000073
here a -i Representing the charge and discharge behavior of the remaining electric vehicles. All electric vehicles want to maximize the utility function of the electric vehicles, so that a competition game of charging and discharging the electric vehicles is formed. We define the optimal response for the ith bright electric vehicle as follows:
Figure BDA0003347474590000074
the game is difficult to analyze and solve, and the difficulty of analysis and solution is increased along with the increase of the number N of the electric vehicles. In particular, the price function may be a non-convex function, which further increases the complexity of the solution. It is therefore necessary to introduce a mean field game for analysis.
And S3, performing optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory, and obtaining a calculation result.
It should be noted that mean field game (mean field game) is a tool introduced to solve the solution of large-scale games.
The mean field term is defined as follows:
Figure BDA0003347474590000081
the average field term represents the average charge and discharge behavior of all people, and the charge and discharge behavior of each vehicle has little influence on the average field term and can be ignored. Thus, we can reconstruct the game described above as follows:
Figure BDA0003347474590000082
the first equation represents the relationship of the electric market price to the mean field term, and the second equation represents the relationship of each electric vehicle utility function to the mean field term given the mean field term. At this time, the optimal charge and discharge behavior of each electric vehicle is as follows:
Figure BDA0003347474590000083
for the average field game, there is at least one Nash equilibrium point. Meanwhile, when the following conditions are met, the average field game has only one Nash equilibrium point.
Figure BDA0003347474590000084
/>
Of course, the solution of the mean field game is different from the initial electric vehicle charge-discharge game, and the difference can be quantified as follows:
Figure BDA0003347474590000085
wherein the method comprises the steps of
Figure BDA0003347474590000091
Is the optimal charge-discharge behavior under the average field game, < >>
Figure BDA0003347474590000092
The optimal charge and discharge behavior is obtained under the competitive game. If a certain electric vehicle does not select the optimal charge and discharge behavior under the mean field, but selects the charge and discharge behavior under the original competitive game, the obtained utility increase is limited. And as the number of electric vehicles increases, this benefit tends to be 0. Along with the increase of the number of the electric vehicles, the electric vehicles are not excited to deviate from the optimal charge and discharge behaviors solved under the average field game, and the optimal charge and discharge control algorithm solved under the average field game can be complied with.
S4, according to the calculated result, obtaining a control method for charging and discharging of the electric vehicle.
Specifically, according to the calculation result, the optimal control method is obtained as follows:
1: initializing charge-discharge behavior a of each electric vehicle i ；
2: calculating a corresponding initialized mean field term z 0 ；
3: setting k=0;
4: when (E) k ≤∈ stop ) When in use;
5: calculating the optimal charge and discharge behavior a of each electric vehicle i (z k )；
6: updating
Figure BDA0003347474590000096
∈ k ＝||z k -z k-1 ||；
7：k＝k+1；
8: the cycle is ended.
Above-mentioned
Figure BDA0003347474590000093
d k Is a given array of numbers and satisfies +.>
Figure BDA0003347474590000094
In one embodiment of the present invention, the electric vehicle charge-discharge model specifically adopts the following formula:
Figure BDA0003347474590000095
0≤S i (t)≤B i 。
a min ≤a i (t)≤a max 。
S i (T)＝B i 。
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i The battery capacity of the i-th electric vehicle is shown.
In one embodiment of the present invention, the electric power market price model specifically adopts the following calculation formula:
Figure BDA0003347474590000101
Figure BDA0003347474590000102
wherein p (t) represents the price of the power system, D (t) represents the basic demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, and lambda represents the coefficient of charge and discharge loss.
In one embodiment of the invention, the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
Figure BDA0003347474590000103
Figure BDA0003347474590000104
/>
Figure BDA0003347474590000105
Figure BDA0003347474590000106
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure BDA0003347474590000107
indicating the optimal response of the ith electric vehicle, < >>
Figure BDA0003347474590000108
A set of charge and discharge behaviors of the i-th electric vehicle is shown.
Compared with the prior art, the control method for charging and discharging of the electric vehicle has the beneficial effects that:
firstly, constructing an electric vehicle charge-discharge model and an electric power market price model; then, according to the electric vehicle charge-discharge model and the electric power market price model, an electric vehicle charge-discharge game model is established; and finally solving the electric vehicle charge-discharge game model by adopting an average value field game theory to obtain a control method of electric vehicle charge-discharge. According to the average field game theory, the method for controlling the charging and discharging behaviors of the large-scale EV is designed, and the charging and discharging efficiency of the electric vehicle is improved while the charging and discharging cost of the electric vehicle is reduced. As shown in fig. 2, the present invention further provides a control system 200 for charging and discharging an electric vehicle, including: a first construction module 201, a second construction module 202, a calculation module 203, and a result acquisition module 204, wherein;
the first construction module 201 is configured to construct an electric vehicle charging and discharging model and an electric power market price model;
the second construction module 202 is configured to establish an electric vehicle charge-discharge game model according to the electric vehicle charge-discharge model and an electric power market price model;
the computing module 203 is configured to perform optimal solution computation on the electric vehicle charge-discharge game model according to a mean value field game theory, so as to obtain a computed result;
the result obtaining module 204 is configured to obtain a control method for charging and discharging the electric vehicle according to the calculated result.
In one embodiment of the present invention, the electric vehicle charge-discharge model specifically adopts the following formula:
Figure BDA0003347474590000111
0≤S i (t)≤B i 。
a min ≤a i (t)≤a max 。
S i (T)＝B i 。
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i The battery capacity of the i-th electric vehicle is shown.
In one embodiment of the present invention, the electric power market price model specifically adopts the following calculation formula:
Figure BDA0003347474590000112
Figure BDA0003347474590000121
wherein p (t) represents the price of the power system, D (t) represents the basic demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, and lambda represents the coefficient of charge and discharge loss.
In one embodiment of the invention, the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
Figure BDA0003347474590000122
/>
Figure BDA0003347474590000123
Figure BDA0003347474590000124
Figure BDA0003347474590000125
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure BDA0003347474590000126
indicating the optimal response of the ith electric vehicle, < >>
Figure BDA0003347474590000127
A set of charge and discharge behaviors of the i-th electric vehicle is shown.
The invention also provides a computer terminal device, comprising: one or more processors; a memory coupled to the processor for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method for controlling charging and discharging of an electric vehicle according to any one of the above.
It should be noted that the processor may be a central processing unit (CentralProcessingUnit, CPU), other general purpose processors, digital signal processors (DigitalSignalProcessor, DSP), application specific integrated circuits (ApplicationSpecificIntegratedCircuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., or any conventional processor that is a control center of the terminal device and that connects various parts of the terminal device using various interfaces and lines.
The memory mainly includes a program storage area, which may store an operating system, an application program required for at least one function, and the like, and a data storage area, which may store related data and the like. In addition, the memory may be a high-speed random access memory, a nonvolatile memory such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash memory card (FlashCard), etc., or other volatile solid state memory devices.
It should be noted that the above-mentioned terminal device may include, but is not limited to, a processor, a memory, and those skilled in the art will understand that the above-mentioned terminal device is merely an example, and does not constitute limitation of the terminal device, and may include more or fewer components, or may combine some components, or different components.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of controlling charging and discharging of an electric vehicle as described in any one of the above.
It should be noted that the computer program may be divided into one or more modules/units (e.g., computer program), which are stored in the memory and executed by the processor to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.

Claims (4)

1. The method for controlling the charge and discharge of the electric vehicle is characterized by comprising the following steps of:
constructing an electric vehicle charge-discharge model and an electric power market price model;
establishing an electric vehicle charging and discharging game model according to the electric vehicle charging and discharging model and the electric power market price model;
performing optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory to obtain a calculation result;
according to the calculated result, a control method of charging and discharging of the electric vehicle is obtained;
the electric vehicle charging and discharging model specifically adopts the following formula:
Figure QLYQS_1
0≤S i (t)≤B i
a min ≤a i (t)≤a max
S i (T)＝B i
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i Represents the battery capacity of the ith electric vehicle, S i (T) when the time period is over, the electric vehicle needs to be fully charged;
the electric power market price model specifically adopts the following calculation formula:
Figure QLYQS_2
Figure QLYQS_3
wherein p (t) represents the price of the power system, D (t) represents the demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, lambda meterShowing the coefficient of charge-discharge loss;
the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
C i (a i )＝∫ 0 T p(t)g(a i (t))dt
Figure QLYQS_4
Figure QLYQS_5
Figure QLYQS_6
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure QLYQS_7
indicating the optimal response of the ith electric vehicle, < >>
Figure QLYQS_8
A set of charge and discharge behaviors of the i-th electric vehicle is shown.
2. A control system for charging and discharging an electric vehicle, comprising: the device comprises a first construction module, a second construction module, a calculation module and a result acquisition module, wherein the first construction module, the second construction module, the calculation module and the result acquisition module are used for acquiring results;
the first construction module is used for constructing an electric vehicle charging and discharging model and an electric power market price model; the electric vehicle charging and discharging model specifically adopts the following formula:
Figure QLYQS_9
0≤S i (t)≤B i
a min ≤a i (t)≤a max
S i (T)＝B i
wherein a is i (t) shows the charge and discharge behavior of the electric vehicle, S i (t) represents the electric quantity of the electric vehicle; a, a min And a max B represents the minimum speed and the maximum speed of charge and discharge of the electric vehicle respectively i Represents the battery capacity of the ith electric vehicle, S i (T) when the time period is over, the electric vehicle needs to be fully charged;
the electric power market price model specifically adopts the following calculation formula:
Figure QLYQS_10
Figure QLYQS_11
wherein p (t) represents the price of the power system, D (t) represents the demand of the power system, e i (t) represents the electric quantity exchanged between the ith electric vehicle and the power grid, and lambda represents the coefficient of charge and discharge loss;
the second construction module is used for building an electric vehicle charge-discharge game model according to the electric vehicle charge-discharge model and the electric power market price model; the electric vehicle charge-discharge game model specifically adopts the following calculation formula:
C i (a i )＝∫ 0 T p(t)g(a i (t))dt
Figure QLYQS_12
Figure QLYQS_13
Figure QLYQS_14
wherein C is i (a i ) Indicating the charge of the ith electric vehicle, U i (a i ) Indicating the charge income of the electric vehicle, gamma i Indicating the gain coefficient of the charge and discharge of the ith vehicle, J i (a i ,a -i ) Indicating the total utility of the electric vehicle, a -i The charge and discharge behaviors of the rest electric vehicles are shown,
Figure QLYQS_15
indicating the optimal response of the ith electric vehicle, < >>
Figure QLYQS_16
A set representing charge and discharge behaviors of an ith electric vehicle;
the calculation module is used for carrying out optimal solution calculation on the electric vehicle charge-discharge game model according to the average value field game theory to obtain a calculation result;
the result acquisition module is used for acquiring a control method of charging and discharging of the electric vehicle according to the calculated result.
3. A computer terminal device, comprising: one or more processors; a memory coupled to the processor for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method for controlling charging and discharging of an electric vehicle according to claim 1.
4. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method for controlling charging and discharging of an electric vehicle according to claim 1.
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