电力系统保护与控制2018，Vol.46Issue(8)：1-9,9.DOI:10.7667/PSPC170551
计及电动汽车充电模式的主动配电网多目标优化重构
Multi-objective optimization of active distribution network reconfiguration considering electric vehicle charging mode
摘要
Abstract
Electric Vehicle (EV) will affect the economy and safety to the power grid, and distribution network reconfiguration is an effective measure for optimal operation of power grid. According to the characteristics of Active Distribution Network (ADN), this paper establishes an optimal reconstruction model with Distributed Generation (DG) and EV. The sitting and sizing of DG is determined by the network loss sensitivity, the multi time probability model is constructed with the output of DG and charging of EV. The network loss, Voltage Deviation Index (VSI) and the number of switching operation are set up as the multi-objective optimization functions to determine the best reconstruction scheme, and in the IEEE33 node standard distribution system, the Improved Multi-Objective Particle Swarm Optimization (IMPSO) algorithm with niche technology is used to improve the ability of global optimization for computing. The EV disordered charging and intelligent charging models are considered to verify the practicality and effectiveness of the proposed method under the comparison results of different scenarios.关键词
分布式电源/电动汽车充电/主动配电网重构/多目标优化Key words
distributed generation/electric vehicle charging/active distribution network reconfiguration/multi-objective optimization引用本文复制引用
张涛,张东方,王凌云,周远化,张晓林..计及电动汽车充电模式的主动配电网多目标优化重构[J].电力系统保护与控制,2018,46(8):1-9,9.基金项目
国家自然科学基金项目资助(51407104) （51407104）
三峡大学学位论文培优基金项目资助(2017YPY036)This work is supported by National Natural Science Foundation of China(No.51407104)and Research Fund for Excellent Dissertation of China Three Gorges University(No.2017YPY036). （2017YPY036）
