Multi-Objective Optimization Scheduling Method for Active Distribution Network with Large Scale Electric Vehicles

被引：0
|
作者：
Xiao H. [1 ]
Pei W. [1 ]
Kong L. [1 ]
机构：
[1] Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing
来源：
Xiao, Hao (xiaohao09@mail.iee.ac.cn) | 1600年 / China Machine Press卷 / 32期
关键词：
Active distribution network; Electric vehicle; Fuzzy clustering; Multi-objective optimization; NSGA-II; Operation scheduling;
D O I：
10.19595/j.cnki.1000-6753.tces.L70199
中图分类号：
学科分类号：
摘要：
Aimed at the problem of increasing peak load caused by random charging of large scale electric vehicle, a multi-objective optimization scheduling method for active distribution network with large scale electric vehicle access is proposed. firstly, the charging demand of large scale electric vehicle is analyzed based on Monte Carlo sampling method, then, take the minimum operation cost and the minimum load curve variance of active distribution network as optimization objectives, considering the charging demand of electric vehicle and the operation constraints of distribution network, a multi-objective optimization scheduling model for active distribution network with large-scale electric vehicles assess is proposed, NSGA-II optimization algorithm is applied to solve the multi-objective model. For the Pareto optimal solution set is large and contains abundant information, it is difficult for the operators to make decision, a method based on fuzzy clustering is proposed to select the optimal solution from Pareto optimal solution set. The simulation test is carried out on the modified IEEE 34-node distribution system, the results shows that the method proposed in this paper can not only ensure the economic operation of the system, but also can reduce the load peak and valley difference of the system by using the optimized charging of electric vehicle. © 2017, The editorial office of Transaction of China Electrotechnical Society. All right reserved.
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页码：179 / 189
页数：10
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