Distribution and Scale Studies of Public Charging Stations Considering Electric Vehicles' Optimal Charging Choose

被引：0
|
作者：
Wang Dong [1 ]
Liu JiChun [1 ]
Liu Junyong [1 ]
机构：
[1] Sichuan Univ, Elect & Informat Engn, Chengdu 610065, Peoples R China
来源：
2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED) | 2016年
关键词：
electric vehicle; distribution and scale; Time-division traffic network; optimal route; particle swarm optimization;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Based on the Dijkstra algorithm and Time-division traffic network, distribution and scale model of public charging station which considering users' optimal choose is proposed. Comprehensive analysis charge probabilities of different state of capacity under various functional areas, and each period characteristics of parked car in industrial, commercial, residential area.then the temporal and spatial distribution characteristics of charging demands are analyzed. A new fuzzy Bi-objective optimization approach that can reflect the relevant priority between objectives is presented to strike an effective balance economic objective and user convenience objective. To solve this optimization, the particle swarm optimization is improved. Finally the example analysis verifies correctness and effectiveness of the proposed model.
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收藏
页数：5
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