Online Pricing Mechanism for Electric Vehicles Charging Based on Operational Condition of A Charging Station

被引：0

作者：

Fan, Honglin ^{[1
]}

You, Pengcheng ^{[2
]}

Guo, Zhenwei ^{[3
]}

Chen, Shibo ^{[1
]}

Yang, Zaiyue ^{[1
]}

机构：

[1] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China

[2] Johns Hopkins Univ, Whiting Sch Engn, Baltimore, MD USA

[3] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou 310058, Peoples R China

来源：

PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年

关键词：

Online Pricing mechanism; online cost optimization algorithm; charging station; electric vehicles; STRATEGY;

D O I：

10.23919/chicc.2019.8866411

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The cost and stability, in terms of stable charging load, are the main concerns of a charging station (CS). To this end, an online cost optimization algorithm is proposed by assuming that all electric vehicle (EV) users are selfless, so that they will report a real demand to the CS. However, in reality, all EV users arc rational and they want to complete the energy demand in the fastest time and the lowest cost. Therefore, inspired by this characteristic of EV users, an online pricing mechanism is designed based on the online algorithm. There are three-fold benefits of the proposed pricing mechanism: giving discount to the flexibility of EV users, ensuring fairness among EV users and the individual optimal strategies of EV users jointly achieve minimizing cost of the CS. Numerical results based on real data further verify the effectiveness of the proposed online algorithm and the pricing mechanism.

引用

页码：6553 / 6558

页数：6

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