基于主从博弈的考虑无线充电道规划的电网调度策略

Grid dispatching strategy for wireless charging road planning based on Stackelberg game

该文研究无线充电道的规划问题,并在规划基础上研究电动汽车在无线充电道上充电对电网造成的影响。首先,基于道路、充电站的分布和交通情况,建立新型的路网交通模型,并通过分析各道路的拥堵系数,提出无线充电道的最优规划;其次,以电网运营商为领导者,以充电行为的变化规律符合改进需求响应函数的电动汽车用户为跟随者,建立主从博弈模型;最后,采用粒子群算法对其进行求解,得到最优的分时电价和充电策略,实现电网运营商收益最大与用户充电成本最小。研究结果表明,该方法解决无线充电道的利用率和收益低的问题,并为电动汽车通过无线充电道参与电网调度提供了理论依据。

This paper investigates the planning of wireless charging lanes and further explores the impact of electric vehicles(EVs)charging on the power grid while using these lanes.Firstly,a novel road network traffic model is established based on the distribution of roads,charging stations,and traffic conditions.By analyzing the congestion coefficients of various roads,an optimal planning for wireless charging lanes is proposed.Subsequently,a Stackelberg game model is formulated,where the grid operator acts as the leader and EV users,whose charging behavior aligns with an improved demand response function,act as followers.Finally,the particle swarm optimization algorithm is employed to solve the model,yielding optimal time-of-use electricity prices and charging strategies that maximize the grid operator's revenue while minimizing the users'charging costs.The research findings indicate that the proposed method addresses the issues of low utilization and profitability of wireless charging lanes and provides a theoretical basis for EVs to participate in grid scheduling through these lanes.