电工技术学报2017，Vol.32Issue(z2)：179-189,11.DOI:10.19595/j.cnki.1000-6753.tces.L70199
含大规模电动汽车接入的主动配电网多目标优化调度方法
Multi-Objective Optimization Scheduling Method for Active Distribution Network with Large Scale Electric Vehicles
摘要
Abstract
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.关键词
主动配电网/电动汽车/多目标优化/运行调度/NSGA-Ⅱ/模糊聚类Key words
Active distribution network/electric vehicle/multi-objective optimization/operation scheduling/NSGA-Ⅱ/fuzzy clustering分类
信息技术与安全科学引用本文复制引用
肖浩,裴玮,孔力..含大规模电动汽车接入的主动配电网多目标优化调度方法[J].电工技术学报,2017,32(z2):179-189,11.基金项目
国家自然科学基金(51377152、51607170),中国科学院青年创新促进会(2016127)和国家电网公司科技项目(52020116000P)资助. （51377152、51607170）
