Congestion Balanced Green Charging Networks for Electric Vehicles in Smart Grid

被引：0

作者：

Tang, Qiang ^{[1
]}

Wang, Kezhi ^{[2
]}

Luo, Yuan-sheng ^{[3
]}

Yang, Kun ^{[4
,5
]}

机构：

[1] Changsha Univ Sci & Technol, Hunan Prov Key Lab Intelligent Proc Big Data Tran, Changsha, Hunan, Peoples R China

[2] Northumbria Univ, Dept Comp & Informat Sci, Newcastle, Tyne & Wear, England

[3] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China

[4] Xidian Univ, ISN Natl Key Lab, Xian, Shaanxi, Peoples R China

[5] Univ Essex, Sch Comp Sci & Elect Engn, Colchester, Essex, England

来源：

GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a congestion balanced green charging networks is proposed for the electric vehicles (EVs) in smart grid. Firstly, a problem about the congestion probability balance among the charging stations (CSs) is analyzed and formulated, and then a two-layer optimization model is established based on the profit functions of power plant (PP), CSs and EVs. In the first layer, the optimal generation capacities as well as the charging capacities of CSs are determined, while in the second layer, the sum of each CS's profit and that of the EVs which want to charge at the CS is formulated as a profit maximization problem. The two-layer optimization model solves the congestion probability balance problem in the iterative manner, and finally the congestion balanced smart charging algorithm (CBSCA) is obtained. By comparing with other benchmarks, the results show that CBSCA is converged in an acceptable time, and the congestion probabilities among the CSs are balanced.

引用

页数：6

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