期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Revenue optimization strategy of V2G based on evolutionary game 被引量:2
1
作者 Lin Guoying Feng Xiaofeng Lu Shixiang 《Journal of Southeast University(English Edition)》 EI CAS 2020年第1期50-55,共6页
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... 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 1.1060 to 1.4811 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. 展开更多
关键词 evolutionary game electric vehicle VEHICLE-TO-GRID electricity price
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部