Multiobjective Distribution Network Reconfiguration Considering the Charging Load of PHEV

被引:5
|
作者
Li, Gaowang [1 ]
Shi, Dongyuan [1 ]
Duan, Xianzhong [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
Distribution network; fuzzy sets; plug-in hybrid electric vehicle;
D O I
10.5755/j01.eee.19.5.1738
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
Energy crisis and environmental pollution make the plug-in hybrid electric vehicle (PHEV) become a hot topic. This paper proposes a multiobjective network reconfiguration methodology based on quantum-inspired binary particle swarm algorithm that aims at alleviating the adverse impact of PHEV on distribution system. The methodology involves two steps: load level division and network reconfiguration for each load level. Two different charging patterns of PHEV are considered in this analysis: uncoordinated charging and coordinated charging. The simulation results show that the proposed methodology is an effective method to make the distribution network more flexible to accommodate PHEV.
引用
收藏
页码:21 / 26
页数:6
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