电力系统保护与控制2018，Vol.46Issue(5)：68-72,5.DOI:10.7667/PSPC170262
基于改进遗传算法的含分布式电源和储能装置配电系统网络重构
Reconfiguration of distribution network with distributed generations and energy storing devices based on improved genetic algorithm
摘要
Abstract
The paper establishes a mathematical model of distribution network reconfiguration with minimum network loss as objective function. An improved genetic algorithm is used to seek the best reconfiguration scheme of distribution network with distributed generations and energy storing devices. The algorithm adopts a decimal encoding, which regards the number of loops as the length of the chromosome and the on/off states of the switches in loop network as the chromosome genes. The distributed generations and energy storing devices are equivalent to "negative" load in calculating power flow. Based on the unique hierarchical structure characteristics of the distribution network, the paper applies the layer-by-layer back/forward sweep method to solve load flow. Simulation result of IEEE33 node example indicates that the reconfiguring the distribution network with distributed generations and energy storing devices can decrease network loss and voltage drop to a large extent.关键词
配电网/网络重构/分布式电源/储能装置/改进遗传算法/分层迭代Key words
distribution network/network reconfiguration/distributed generation/energy storing device/modified genetic algorithm/hierarchical iteration引用本文复制引用
江卓翰,何禹清,曹丽璐,徐超,禹海峰,刘博..基于改进遗传算法的含分布式电源和储能装置配电系统网络重构[J].电力系统保护与控制,2018,46(5):68-72,5.基金项目
国家电网公司科技项目(5216A016000K,5216A2160004)This work is supported by Science and Technology Project of State Grid Corporation of China(No.5216A016000K and No.5216A2160004). （5216A016000K,5216A2160004）
