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基于Hotelling模型的充电服务费双寡头联盟定价方法
引用本文:苏舒,李培军,严辉,丁宁.基于Hotelling模型的充电服务费双寡头联盟定价方法[J].电力系统保护与控制,2019,47(11):133-142.
作者姓名:苏舒  李培军  严辉  丁宁
作者单位:国网电动汽车服务有限公司,北京,100053;国网电动汽车服务有限公司,北京,100053;国网电动汽车服务有限公司,北京,100053;国网电动汽车服务有限公司,北京,100053
基金项目:国家电网公司重点科技项目资助(52110417001G)
摘    要:为了减少电动汽车充电负荷大规模接入对电网安全稳定运行的负面影响,针对含有多主体运营商充电站的充电市场竞争定价问题,提出了基于Hotelling模型的充电服务费双寡头联盟定价方法。首先,分析了多元充电市场中电网公司、充电站运营商和电动汽车用户各自的利益追求。其次,利用Hotelling模型刻画了充电需求受价格引导的分布特性,设计了多元活性充电市场中的充电站运营商充电服务费定价方案。最后,通过仿真算例分析,验证了所提充电服务费双寡头联盟定价方法的有效性。

关 键 词:电动汽车  有序充电  快充负荷  充电服务费  博弈论
收稿时间:2018/7/2 0:00:00
修稿时间:2018/12/12 0:00:00

Pricing method of charging service fee duopoly alliance based on Hotelling model
SU Shu,LI Peijun,YAN Hui and DING Ning.Pricing method of charging service fee duopoly alliance based on Hotelling model[J].Power System Protection and Control,2019,47(11):133-142.
Authors:SU Shu  LI Peijun  YAN Hui and DING Ning
Affiliation:State Grid Electric Vehicle Service Company, Beijing 100053, China,State Grid Electric Vehicle Service Company, Beijing 100053, China,State Grid Electric Vehicle Service Company, Beijing 100053, China and State Grid Electric Vehicle Service Company, Beijing 100053, China
Abstract:In order to reduce the negative impact of large-scale access of electric vehicle charging load on the safe and stable operation of the power grid, a Hotelling model based duopoly alliance pricing method for charging service fee is proposed to solve the problem of charging market competition pricing with multi-agent operator charging stations. Firstly, the respective interests of power grid companies, charging station operators and electric vehicle users in the multi-charge market are analyzed. Secondly, the Hotelling model is used to describe the distribution characteristics of charging demand guided by price, and a charging station operator charging service fee pricing scheme in the multi-active charging market is designed. Finally, the validity of the proposed pricing method for charging service fee duopoly alliance is verified by simulation analysis. This work is supported by Key Science and Technology Project of State Grid Corporation of China (No. 52110417001G).
Keywords:EV  coordinated charging  fast charging load  charging service fee  game theory
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