电动汽车群体互动策略的随机演化博弈分析

Stochastic Evolutionary Game Analysis of Group Strategies for Electric Vehicles in Vehicle Network Interaction

【目的】为分析车网互动过程中电动汽车群体充放电决策的影响因素及规律,【方法】建立了电动汽车群体内部不同个体之间的决策演化博弈模型,引入用户偏好影响因子对复制动态方程进行改进,分析了电动汽车群体策略演化形成的过程,分析了各因素变化对电动汽车群体互动策略的影响规律。【结果】仿真表明,考虑用户偏好影响时,选择充电策略的电动汽车用户比例由65%提高到75%;当用户经济效益敏感程度由0增加到2时,充电和不充不放用户的比例分别减少50%和10%,放电用户的比例则增加了60%。【结论】用户偏好及经济效益敏感程度会提高电动汽车用户参与车网互动的比例,而外部环境的扰动不会对电动汽车用户最终的选择结果产生影响。

【Objective】To analyze the influencing factors and patterns of electric vehicle group charging and discharging decisions in the process of vehicle network interaction.【Method】In order to analyze the influencing factors and laws of electric vehicle group charging and discharging decisions in the process of vehicle network interaction,a decision evolution game model among different individuals within the electric vehicle group was established and the replication dynamic equation was improved by introducing user preference influence factors,so as to analyze the process of the evolution of electric vehicle group strategies the impact of various factors on the interaction strategies of electric vehicle groups.【Result】Simulation shows that when considering the influence of user preferences,the proportion of electric vehicle users who choose charging strategies increases from 65%to 75%.When the sensitivity of user economic benefits increases from 0 to 2,the proportion of charging and discharging users decreases by 50%and 10%respectively,while the proportion of discharging users increases by 60%.【Conclusion】The sensitivity of user preferences and economic benefits will increase the proportion of electric vehicle users participating in vehicle network interaction,while external environmental disturbances will not affect the final selection results of electric vehicle users.