Coordinated EV Charging and Reactive Power Optimization for Radial Distribution Network using Mixed Integer Second-order Cone Programming

被引：0

作者：

Li, Pengcheng ^{[1
]}

Duan, Xiaoyu ^{[2
]}

Yang, Jing ^{[1
]}

Zhang, Qiuyan ^{[1
]}

Zhao, Yuanliang ^{[3
]}

Hu, Zechun ^{[2
]}

机构：

[1] Guizhou Power Grid Co Ltd, Elect Power Res Inst, Guiyang, Guizhou, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China

[3] Guizhou Power Grid Co Ltd, Guiyang, Guizhou, Peoples R China

来源：

2017 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ASIA-PACIFIC (ITEC ASIA-PACIFIC) | 2017年

关键词：

Active power loss; distribution network; electric vehicle; reactive power optimization; second-order cone programming;

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：

The increasing penetration of electric vehicles (EVs) will bring great challenges to the secure and economic operation of distribution networks. On the other hand, coordinated charging of EVs can alleviate the adverse impacts of charging loads and even increase the efficiency of distribution network operation. This paper aims at optimally scheduling the daily charging of EVs and the daily on/off switching of shunt capacitors to minimize the total active power losses. We formulate a mixed integer second-order cone programming (MI-SOCP) model for this scheduling problem considering the distribution network security constraints. Case study results show that coordinated charging of EVs with reactive power optimization can effectively reduce the active power losses and improve the nodal voltage profiles.

引用

页码：507 / 511

页数：5

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