Optimal Planning of Public Fast Charging Station on Residential Power Distribution System

被引：0
|
作者：
Leeprechanon, Nopbhorn [1 ]
Phonrattanasak, Prakornchai [1 ]
Sharma, Mahesh Kumar [1 ]
机构：
[1] Thammasat Univ, Fac Engn, Dept Elect & Comp Engn, Pathum Thani 12120, Thailand
来源：
2016 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ASIA-PACIFIC (ITEC ASIA-PACIFIC) | 2016年
关键词：
covering location principle; fast charging stations; optimal planning; plug-in electric vehicles; power distribution system; residential zone; swarm optimization; urban area; ELECTRIC VEHICLES; DEMAND; MODEL; LOAD;
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：
This paper formulates a mathematical optimization model of the public fast charging stations (FCSs) planning based on covering location principle (CLP) having its locality within the urban area on the residential power distribution grid. Ant colony optimization (ACO) algorithm has been developed for finding the optimal locations of the FCSs on the proposed model such that it maximizes charging serviceability subject to various constraints, i.e. the traffic service distance of FCSs, and the residential power distribution system, respectively. Numerical results demonstrate that the proposed system is pivotally suitable for the planning of FCSs in the residential zone.
引用
收藏
页码：519 / 524
页数：6
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