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A mobile charging pile deployment strategy based on Stackelberg game
Due to the difference in geographical location distribution, the spatiotemporal contradiction between supply and demand of charging piles is prominent. Most of the existing studies use EV regulation to solve the problem, but this will reduce user satisfaction with charging. In this paper, mobile charging piles (MCP) are proposed to cooperate with distribution network, and through the introduction of distribution network peak regulation incentive, the Stackelberg game model between charging service providers and users is constructed to obtain the optimal charging strategy, and the mobile charging pile allocation optimization model is constructed to determine the optimal delivery scheme. The results show that the strategy can effectively improve the user satisfaction, service provider benefit and the stability of distribution network operation.
A mobile charging pile deployment strategy based on Stackelberg game
Due to the difference in geographical location distribution, the spatiotemporal contradiction between supply and demand of charging piles is prominent. Most of the existing studies use EV regulation to solve the problem, but this will reduce user satisfaction with charging. In this paper, mobile charging piles (MCP) are proposed to cooperate with distribution network, and through the introduction of distribution network peak regulation incentive, the Stackelberg game model between charging service providers and users is constructed to obtain the optimal charging strategy, and the mobile charging pile allocation optimization model is constructed to determine the optimal delivery scheme. The results show that the strategy can effectively improve the user satisfaction, service provider benefit and the stability of distribution network operation.
A mobile charging pile deployment strategy based on Stackelberg game
Huang, Xiaoqing (Autor:in) / Wen, Putong (Autor:in) / Duan, Jianyan (Autor:in) / Zhu, Bin (Autor:in) / Huang, Hui (Autor:in) / Hu, Xiaorui (Autor:in) / Ning, Yuan (Autor:in)
08.11.2024
1143569 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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