Optimal Coordination of EV Charging with Network Reconfiguration

被引：0
|
作者：
Naidu, Kanendra [1 ]
Muhammad, Munir Azam [2 ]
Mokhlis, Hazlie [2 ]
Sufyan, Muhammad [3 ]
Amin, Adil [2 ]
机构：
[1] Univ Kuala Lumpur, British Malaysian Inst, Elect Technol Sect, Bt 8 Jalan Sungai Pusu, Gombak 53100, Selongor Darul, Malaysia
[2] Univ Malaya, Fac Engn, Dept Elect Engn, Kuala Lumpur 50603, Malaysia
[3] Univ Malaya, UMPEDAC, Wisma R&D, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia
来源：
5TH INTERNATIONAL CONFERENCE ON GREEN DESIGN AND MANUFACTURE 2019 (ICONGDM 2019) | 2019年 / 2129卷
关键词：
ELECTRIC VEHICLES; PEVS; DG;
D O I：
10.1063/1.5118102
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Electric vehicles have gained popularity in the recent years due to green transportation, high energy efficiency, reduction in fossil fuels and less noise pollutions. With the increasing proportion of EV, the issues of uncoordinated charging may lead to system imbalance and transformer overloading. The coordinated charging of EV restricts the system to maximum loading capacity and minimizes the total power loss. This work proposes hybrid particle swarm optimization ( HPSO) algorithm for coordinated EV charging with network reconfiguration to improve system performance and charging higher number of EVs even during peak consumption. The IEEE modified 33 bus distribution networks is used in the paper to check the efficiency of the system.
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页数：8
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