Electric vehicle charging scheduling and pricing based on Stackelberg game

Автор: Xiong Qiming, Zhang Zongnan, Bazhanov Andrei, Zhang Qi, Lu Jiahao

Журнал: Бюллетень науки и практики @bulletennauki

Рубрика: Технические науки

Статья в выпуске: 8 т.8, 2022 года.

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The disorderly charging and discharging of a large number of electric vehicles will have a serious negative impact on the safety and economic operation of the power system. In order to avoid safety problems and obtain maximum economic benefits, a master-slave game is proposed to model the maximization of profits for agents and car owners. In the upper model of the model, the optimization objective of the main body is to minimize the operating cost and minimize the load mean square error; in the lower model, the goal is to minimize the cost of electric vehicles; the particle swarm algorithm is used, and the model decoupling characteristics are used from the inside to the outside. Solve the Nash equilibrium point of the optimization model, obtain the set of optimal time-of-use electricity price and electric vehicle charging and discharging scheme, and finally obtain the global optimal pricing strategy. Various typical scenarios before and after optimization are compared and analyzed in detail through calculation examples, and the effect of the proposed model and the overall scheduling benefit are verified.

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Electric vehicle, electric vehicle network access, pricing, stackelberg game, two-tier optimization

Короткий адрес: https://sciup.org/14125303

IDR: 14125303   |   DOI: 10.33619/2414-2948/81/39

Список литературы Electric vehicle charging scheduling and pricing based on Stackelberg game

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