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Pricing method of electric vehicle virtual power plant operator based on master-slave game

A technology for virtual power plants and electric vehicles, applied in electric vehicle charging technology, electric vehicles, vehicle components, etc., can solve the problems of low grid income, not considering the interests of EVPP operators and EV users, etc., and achieve high DG penetration rate Effect

Pending Publication Date: 2022-08-05
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented describes an algorithm for calculating how much money will be charged by each user during peak hours when they are paying their bills at home or work instead of relying solely upon electrical rates from outside sources like power companies. It uses both primary/secondary games that consider factors such as price changes over time (EVR) and battery usage levels to determine if there should be more charge being made than what it needs without actually buying extra batteries. Additionally, this approach allows them to create efficient strategic planning solutions with high efficiency.

Problems solved by technology

This patented method discusses how electric cars are charged differently from traditional gasoline stations due to factors like high cost per kilowatt hour compared to battery capacity. However, previous approaches neglected these concerns because they assumed all relevant attributes such as user preferences were considered equally regardless of each other's intentions.

Method used

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  • Pricing method of electric vehicle virtual power plant operator based on master-slave game
  • Pricing method of electric vehicle virtual power plant operator based on master-slave game
  • Pricing method of electric vehicle virtual power plant operator based on master-slave game

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Embodiment 1

[0085] A method for pricing electric vehicle virtual power plant operators based on a master-slave game in this embodiment is used for electric vehicle users (EV users), electric vehicle virtual power plant operators (EVPP operators), and three parties to the power grid, including:

[0086] S1, establishing an interaction framework between the EV user, the EVPP operator, and the power grid;

[0087] S2, based on the interaction framework, establish a master-slave game model between the EVPP operator and the EV user, an optimization objective function and constraints of the master-slave game model, wherein the EVPP operator and the EV The master-slave game model between users includes the optimization of the upper-layer EVPP operator and the optimization of the charging strategy of the lower-layer EV users;

[0088] S3, solve the optimization objective function based on the constraint condition, and obtain the equilibrium point of interests of both parties in the master-slave g...

Embodiment 2

[0175] A pricing system for electric vehicle virtual power plant operators based on a master-slave game, used for electric vehicle users (EV users), electric vehicle virtual power plant operators (EVPP operators) and three parties to the grid, including:

[0176] an interaction framework establishment module, used to establish an interaction framework among the EV user, the EVPP operator and the power grid;

[0177] A master-slave game model establishment module, used for establishing a master-slave game model between the EVPP operator and the EV user based on the interaction framework, the optimization objective function and constraints of the master-slave game model, wherein the The master-slave game model between the EVPP operator and the EV user includes the optimization of the upper-layer EVPP operator and the optimization of the charging strategy of the lower-layer EV user;

[0178] a model solving module, used to solve the optimization objective function based on the co...

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PUM

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Abstract

The invention relates to the field of virtual power plant operator pricing strategy optimization implementation, in particular to an electric vehicle virtual power plant operator pricing method based on a master-slave game, and the method comprises the steps: building an interaction framework among an EV user, an EVPP operator and a power grid; establishing a master-slave game model between the EVPP operator and the EV user, and an optimization objective function and constraint conditions of the master-slave game model based on the interactive framework, wherein the master-slave game model between the EVPP operator and the EV user comprises upper-layer EVPP operator optimization and lower-layer EV user charging strategy optimization; and solving and optimizing the objective function based on the constraint condition, and obtaining a benefit balance point of the master and slave game parties and pricing of an electric vehicle virtual power plant operator. The invention also discloses a corresponding pricing system, terminal equipment and a computer readable storage medium. According to the pricing method, the response of the charging strategy of the EV user to the electricity selling price is considered, the influence of the charging behavior of the EV user on the pricing strategy is also considered, and the win-win situation between the EVPP operator and the EV user is achieved.

Description

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Claims

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Application Information

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Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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