Charging Planning of Electric Vehicle Manager Based on Price Demand

Zheng Zhao, Mingchu Li, Tingting Tang, Cheng Guo
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引用次数: 1

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.
基于价格需求的电动汽车管理者充电规划
电动汽车充电技术一直影响着电动汽车的发展。如果想用电动车提供像燃油车一样的出行服务,电动车服务商必须考虑电动车的充电问题。为了维护电网的安全稳定运行,智能电网通常采用实时电价策略。在实时电价策略下,电价会随着用电用户用电量的增加而上升,随着用电量的减少而下降。用户根据实时电价调整用电需求,称为基于实时电价的用户需求响应。在本文中,我们的目标是在考虑其他电力用户的需求响应的情况下,制定电动汽车的最低成本充电计划。基于电动汽车与其他电力用户之间的竞争关系,将其建模为博弈模型,并采用双神谕算法求解。最后通过仿真实验验证了该模型和算法的可行性,降低了所有用户的用电成本,减轻了电网的负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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