V2G vehicle network interaction method based on power grid load fluctuation and vehicle income

Abstract

The invention discloses a V2G vehicle network interaction method based on power grid load fluctuation and vehicle income, and the method comprises the following steps: S1, predicting the income information after the energy is fed to a power grid, and enabling a vehicle owner to decide whether to feed the energy to the power grid or not; s2, the vehicle owner decides whether to feed energy to the power grid in the charging process; s3, the vehicle owner decides whether to participate in an energy feedback behavior to the power grid through the V2G according to the vehicle age limit and the electricity price; s4, giving a suggestion whether to actively participate in the energy feedback behavior of the power grid through the V2G; s5, the vehicle owner finally confirms whether to participate in the behavior of feeding energy to the power grid or not through the steps S1 to S4; and S6, the number of the V2G energy-feeding power grid electric vehicles and the utilization rate of a V2G charging and discharging system are increased, and the adjusting effect of power grid load fluctuation is improved. According to the method, through superposition with a power supply transformer load curve, the balance between the adjustable / controllable transformer load curve and the maximization of the income of a vehicle owner in the ownership period of the electric vehicle is realized. Therefore, the active energy feedback participation willingness of the vehicle owner to the power grid is improved, and the virtuous cycle of vehicle-network interaction is realized.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle-grid interaction, and in particular to a V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue. Background Art

[0002] With the rapid increase in the number of electric vehicles, the charging process of electric vehicles will have a certain impact on the power grid. The introduction of vehicle-to-grid (V2G) technology into the power grid so as to utilize the batteries of a large number of electric vehicles as energy storage and thus reduce the impact on the power grid is an important part of the construction of a new power system. When the load on the power grid is too high, the energy storage of the electric vehicle feeds energy to the power grid through the V2G charging and discharging system; when the load on the power grid is low, the power grid charges the batteries of the electric vehicle through the V2G charging and discharging system to avoid waste. Thus, two-way interaction between electric vehicles and the power grid is achieved. In this way, electric vehicle users can buy electricity from the power grid when the electricity price is low, and sell electricity to the power grid when the power price is high, thereby obtaining certain benefits. However, the existing model has the following problems:

[0003] (1) Most electric vehicle owners need to take the initiative to understand the operation information of the power grid, combine their own vehicle demand information, and independently predict the benefits of feeding energy into the power grid. However, most owners do not have the above capabilities, which leads to a lack of willingness for owners to actively participate in feeding energy into the power grid.

[0004] (2) Car owners are unable to determine the difference between the total mileage that can be supported by the current electric vehicle battery within its remaining life and the estimated mileage of the electric vehicle at the time of replacement, i.e., the excess mileage (this difference can be used to actively participate in feeding energy to the grid and does not affect the car owner's daily use), thus failing to mobilize the car owner's willingness to actively participate in feeding energy to the grid;

[0005] (3) Car owners are unable to predict the changing trends of the residual value of the vehicle, the vehicle holding cost, the net income from charging and discharging, and the optimal holding period of the electric vehicle, which affects their decision-making on whether to actively participate in feeding energy into the grid;

[0006] (4) Due to the low user participation rate, the V2G charging / discharging power is insufficient, resulting in poor regulation effect on grid load fluctuations. Summary of the invention

[0007] The purpose of the present invention is to solve the shortcomings of the prior art and propose a V2G vehicle-grid interaction method based on grid load fluctuations and vehicle revenue, which achieves a balance between adjustable / controllable transformer load curve and maximization of vehicle owner revenue during the ownership period of electric vehicles by superimposing the load curve of the power supply transformer. This will enhance the willingness of vehicle owners to actively feed energy to the grid and achieve a virtuous cycle of vehicle-grid interaction.

[0008] A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue of the present invention comprises the following steps:

[0009] S1. Push the information about available parking spaces at charging stations and the predicted revenue after feeding energy into the grid, so that car owners can decide whether to feed energy into the grid;

[0010] S2. The car owner decides whether to feed energy to the grid during this charging process;

[0011] S3. The owner decides whether to modify the expected vehicle ownership period, the acceptable charging / discharging electricity price, and whether to participate in the power grid feeding behavior through V2G;

[0012] S4. By pushing the changing trends of various factors of net benefits obtained by car owners participating in grid charging / discharging, predicting the optimal holding time of electric vehicles, and giving suggestions on whether to actively participate in grid feeding through V2G;

[0013] S5. After the above steps S1 to S4, the vehicle owner finally confirms whether to participate in the energy feeding behavior to the grid. The vehicle-grid interactive control system sorts the confirmed discharge vehicle data according to the product of discharge price*discharge power*discharge number from small to large, and feeds energy to the grid in sequence;

[0014] S6. Through cluster control and information push of charging piles supplied by power supply transformers, the number of electric vehicles feeding energy from V2G to the power grid and the utilization rate of V2G charging and discharging systems are increased, thereby improving the regulation effect of power grid load fluctuations.

[0015] Preferably, in S1, when the electric power level of the electric vehicle is lower than a threshold set by the user, the charging station information is pushed to the owner, and according to the acceptable charging / discharging electricity price preset by the owner, the owner is guided to the nearest charging station that meets the requirements.

[0016] Preferably, in S2, the total mileage that the current electric vehicle battery can support within its remaining life span is predicted based on the vehicle's historical charging and discharging data and mileage. By comparing it with the estimated mileage of the electric vehicle when the owner changes the vehicle, the total remaining number of times the customer can actively feed energy to the grid is given, so that the owner can decide whether to feed energy to the grid during this charging process.

[0017] Preferably, in S3, the residual value and holding cost of the electric vehicle during the holding period are predicted based on the vehicle insurance information, vehicle mileage, and historical charge / discharge data, and a recommendation for the best holding period for the vehicle is given to provide a decision-making reference for the owner.

[0018] The advantages and technical effects of the present invention are:

[0019] (1) When an electric vehicle is connected to a charging station, the grid operation information is actively pushed to the customer. Based on the vehicle demand information input by the owner and the predicted benefits after feeding energy into the grid, the owner can decide whether to feed energy into the grid.

[0020] (2) Based on the vehicle's historical charge / discharge data and mileage, the total mileage that the current electric vehicle battery can support during its remaining lifespan is predicted. By comparing the expected mileage of the electric vehicle at the time when the owner changes the vehicle, the remaining number of times the customer can actively discharge the battery to the grid and the expected benefits are given;

[0021] (3) Based on the vehicle's historical charging / discharging data and vehicle insurance information, the changing trends of various factors such as the residual value of the vehicle, the vehicle holding cost, and the net income obtained through V2G participation in grid charging and feeding during the holding period of the electric vehicle are predicted, and then the optimal holding time of the electric vehicle is given, thereby indicating whether the user should actively participate in grid feeding through V2G; through the vehicle-grid interactive control and information push of the charging piles supplied by the power supply transformer, the number of V2G vehicles feeding energy to the grid and the utilization rate of the V2G charging and feeding system are increased, thereby improving the active regulation effect of grid load fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is the overall control flow chart of the vehicle-network interactive control system in the present invention;

[0023] Figure 2 It is a charging flow chart of the vehicle-grid interactive control system of the present invention;

[0024] Figure 3 It is a discharge flow chart of the vehicle-grid interactive control system in the present invention;

[0025] Figure 4 This is a vehicle charging / discharging current system diagram of the vehicle-grid interactive control system in the present invention. DETAILED DESCRIPTION

[0026] The embodiments of the invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the invention, and cannot be understood as limiting the invention.

[0027] A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue of the present invention comprises the following steps:

[0028] S1. Push the information about available parking spaces at charging stations and the predicted revenue after feeding energy into the grid, so that car owners can decide whether to feed energy into the grid;

[0029] S2. The car owner decides whether to feed energy to the grid during this charging process;

[0030] S3. The owner decides whether to modify the expected vehicle ownership period, the acceptable charging / discharging electricity price, and whether to participate in the power grid feeding behavior through V2G;

[0031] S4. By pushing the changing trends of various factors of net benefits obtained by car owners participating in grid charging / discharging, predicting the optimal holding time of electric vehicles, and giving suggestions on whether to actively participate in grid feeding through V2G;

[0032] S5. After the above steps S1 to S4, the vehicle owner finally confirms whether to participate in the energy feeding behavior to the grid. The vehicle-grid interactive control system sorts the confirmed discharge vehicle data according to the product of discharge price*discharge power*discharge number from small to large, and feeds energy to the grid in sequence;

[0033] S6. Through cluster control and information push of charging piles supplied by power supply transformers, the number of electric vehicles feeding energy from V2G to the power grid and the utilization rate of V2G charging and discharging systems are increased, thereby improving the regulation effect of power grid load fluctuations.

[0034] Preferably, in S1, when the electric power level of the electric vehicle is lower than a threshold set by the user, the charging station information is pushed to the owner, and according to the acceptable charging / discharging electricity price preset by the owner, the owner is guided to the nearest charging station that meets the requirements.

[0035] Preferably, in S2, the total mileage that the current electric vehicle battery can support within its remaining life span is predicted based on the vehicle's historical charging and discharging data and mileage. By comparing it with the estimated mileage of the electric vehicle when the owner changes the vehicle, the total remaining number of times the customer can actively feed energy to the grid is given, so that the owner can decide whether to feed energy to the grid during this charging process.

[0036] Preferably, in S3, the residual value and holding cost of the electric vehicle during the holding period are predicted based on the vehicle insurance information, vehicle mileage, and historical charge / discharge data, and a recommendation for the best holding period for the vehicle is given to provide a decision-making reference for the owner.

[0037] In order to more clearly illustrate the specific implementation mode of the present invention, an embodiment is provided below:

[0038] First, the vehicle-grid interactive control system collects the basic information of the charging pile power transformer, including load rate, voltage, current, frequency, harmonics and other data, and obtains the demand information of each electric vehicle through the connected charging piles.

[0039] Secondly, the vehicle-grid interactive control system calculates the charging demand, allowed discharge and latest charging time of each electric vehicle according to the electric vehicle demand information obtained. And according to the basic information of the charging pile power supply transformer obtained by the system, it calculates the reference charging and discharging power of each electric vehicle and sends the power command to each charging pile.

[0040] Finally, the charge and discharge converter control system caters to the upper-level scheduling system, receives data information sent by the upper-level scheduling system, and controls the charging and discharging of electric vehicles through each charging pile.

[0041] The present invention provides a V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue. By arranging a V2G charging pile vehicle-grid interaction control system on the V2G charging pile power transformer, the charging / discharging power curve of each electric vehicle is calculated based on the load rate of the power supply transformer, the local peak-valley period and the real-time (such as frequency modulation, peak regulation) electricity price, the remaining power of the vehicle battery, the owner's pre-acceptable charging / discharging electricity price, the vehicle full charge time, the acceptable number of discharges during the current V2G charging pile connection period, and other information. By superimposing it with the load curve of the power supply transformer, a balance is achieved between the adjustable / controllable transformer load curve and the maximization of the owner's revenue during the ownership period of the electric vehicle. This enhances the owner's willingness to actively participate in feeding energy to the power grid and realizes a virtuous cycle of vehicle-grid interaction.

[0042] Finally, all the unexplained parts of the invention adopt mature products and mature technical means in the existing technology.

[0043] In the description of this specification, reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in the embodiment or example of the invention.

[0044] Although embodiments of the invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue, characterized in that: The following steps are involved: S1. Push the information about available parking spaces at charging stations and the predicted revenue after feeding energy into the grid, so that car owners can decide whether to feed energy into the grid; S2. The car owner decides whether to feed energy to the grid during this charging process; S3. The owner decides whether to modify the expected vehicle ownership period, the acceptable charging / discharging electricity price, and whether to participate in the power grid feeding behavior through V2G; S4. By pushing the changing trends of various factors of net benefits obtained by car owners participating in grid charging / discharging, predicting the optimal holding time of electric vehicles, and giving suggestions on whether to actively participate in grid feeding through V2G; S5. After the above steps S1 to S4, the vehicle owner finally confirms whether to participate in the energy feeding behavior to the grid. The vehicle-grid interactive control system sorts the confirmed discharge vehicle data according to the product of discharge price*discharge power*discharge number from small to large, and feeds energy to the grid in sequence; S6. Through cluster control and information push of charging piles supplied by power supply transformers, the number of electric vehicles feeding energy from V2G to the power grid and the utilization rate of V2G charging and discharging systems are increased, thereby improving the regulation effect of power grid load fluctuations.

2. A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue according to claim 1, characterized in that: In S1, when the electric power of the electric vehicle is lower than the threshold set by the user, the charging station information is pushed to the owner, and according to the acceptable charging / discharging electricity price preset by the owner, the owner is guided to the nearest charging station that meets the requirements.

3. A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue according to claim 1, characterized in that: In S2, the total mileage that the electric vehicle battery can support within its remaining life span is predicted based on the vehicle's historical charging and discharging data and mileage. By comparing it with the estimated mileage of the electric vehicle when the owner changes the vehicle, the total remaining number of times the customer can actively feed energy to the grid is given, so that the owner can decide whether to feed energy to the grid during this charging process.

4. A V2G vehicle-grid interaction method based on grid load fluctuation and vehicle revenue according to claim 1, characterized in that: In S3, the residual value and holding cost of the electric vehicle during the holding period need to be predicted based on the vehicle insurance information, vehicle mileage, and historical charging / discharging data, and a recommendation for the best holding period for the vehicle needs to be given to provide a decision-making reference for the owner.

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