东南大学学报（英文版）2020，Vol.36Issue(1)：50-55,6.DOI:10.3969/j.issn.1003-7985.2020.01.007
基于演化博弈的V2G收益优化策略
Revenue optimization strategy of V2G based on evolutionary game
摘要
Abstract
In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid ( V2G ) technology, a reasonable electric vehicle discharge electricity price is established through the evolutionary game model. A game model of power grid companies and electric vehicle users based on the evolutionary game theory is established to balance the revenue of both players in the game. By studying the dynamic evolution process of both sides of the game, the range of discharge price that satisfies the interests of both sides is obtained. The results are compared with those obtained by the static Bayesian game. The results show that the discharge price which can benefit both sides of the game exists in a specific range. According to the setting of the example, the reasonable discharge electricity price is 1. 106 0 to 1. 481 1 yuan/( kW·h) . Only within this range can the power grid company and electric vehicle users achieve positive interactions. In addition, the evolutionary game model is easier to balance the interests of the two players than the static Bayesian game.关键词
演化博弈/电动汽车/车联网(V2G)/电价Key words
evolutionary game/electric vehicle/vehicle-to-grid/electricity price分类
信息技术与安全科学引用本文复制引用
林国营,冯小峰,卢世祥..基于演化博弈的V2G收益优化策略[J].东南大学学报（英文版）,2020,36(1):50-55,6.基金项目
The National Natural Science Foundation of China ( No. 51577028) . （ No. 51577028）
