Cited By
View all- Zhang SWang ZLu G(2023)Research on V2G Interaction Strategy of New Power System2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)10.1109/ACPEE56931.2023.10135842(1097-1102)Online publication date: Apr-2023
Charging Planning of Electric Vehicle Manager Based on Price Demand
Pages 20 - 26
Abstract
The charging technology of electric vehicles has always affected the development of electric vehicles. If you want to use electric vehicles to provide travel services like fuel cars, electric vehicle service providers must consider the charging problem of electric vehicles. In order to maintain the safe and stable operation of the power grid, smart grids usually adopt real-time electricity pricing strategies. Under the strategy of real-time electricity prices, electricity prices will increase with the increase of electricity consumption by electricity users, and decrease with the decrease of electricity consumption. Electricity users adjust their electricity demand based on real-time electricity prices, which is called user demand response based on real-time electricity prices. In this paper, our goal is to formulate a minimum-cost charging plan for electric vehicles while considering the demand response of other power users. Based on the competition relationship between electric vehicles and other power users, we model it as a game model and use the double oracle algorithm to solve it. Finally, a simulation experiment shows the feasibility of our model and algorithm, and reduces the cost of electricity for all users, and the burden on the power grid.
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Published: 06 June 2021
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- Nature Science Foundation of China
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WABD 2021
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View all- Zhang SWang ZLu G(2023)Research on V2G Interaction Strategy of New Power System2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)10.1109/ACPEE56931.2023.10135842(1097-1102)Online publication date: Apr-2023
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