Charging Station Placement for Electric Vehicles: A Case Study of Guwahati City, India

被引：55
|
作者：
Deb, Sanchari [1 ]
Tammi, Kari [2 ]
Kalita, Karuna [3 ]
Mahanta, Pinakeswar [3 ,4 ]
机构：
[1] IIT Guwahati, Ctr Energy, Gauhati 781013, Assam, India
[2] Aalto Univ, Dept Mech Engn, Espoo 02610, Finland
[3] IIT Guwahati, Dept Mech Engn, Gauhati 781013, Assam, India
[4] Natl Inst Technol, Dept Mech Engn, Yupia 791110, India
来源：
IEEE ACCESS | 2019年 / 7卷
关键词：
City; cost; charging station; electric vehicle; optimization; traffic;
D O I：
10.1109/ACCESS.2019.2931055
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 ever-increasing population of India accompanied by the recent concerns regarding fossil fuel depletion and environmental pollution has made it indispensable to develop alternate mode of transportation. Electric vehicle (EV) market in India is expanding. For acceptance of EVs among the masses, development of charging infrastructure is of paramount importance. This paper formulates and solves the charging infrastructure-planning problem for Guwahati, India, that will develop as a smart city soon. The allocation of charging station problem was framed in a multi-objective framework considering the economic factors, power grid characteristics, such as voltage stability, reliability, power loss, as well as EV user's convenience, and random road traffic. The placement problem was solved by using a Pareto dominance-based hybrid algorithm amalgamating chicken swarm optimization (CSO) and the teaching learning-based optimization (TLBO) algorithm. Finally, the Pareto optimal solutions were compared by fuzzy decision-making.
引用
收藏
页码：100270 / 100282
页数：13
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