电力系统保护与控制2019，Vol.47Issue(1)：95-100,6.DOI:10.7667/PSPC171900
基于改进猫群算法的分布式电源优化配置
Research on optimized distributed generations locating based on modified cat swarm optimization
摘要
Abstract
The rational location and capacity of Distributed Generations (DG) can maximize its economic benefit. Most of the algorithms which are used to solve the optimal configuration of distributed power supply have the problem of too strong dependence on the control parameters, which are easy to fall into the local optimal solutions. To solve the problem, this paper proposes a chaos improved cat swarm optimization algorithm. The parameters of cat swarm optimization algorithm can be adjusted by using the randomness, ergodicity and regularity of the chaos theory, which makes the algorithm get the global optimal solution quickly. Based on the detailed analysis on the characteristics of DG, a model is built to minimize active power loss cost and consumer electricity purchase cost. Finally, taking PG&E69-node distribution network as an example, this paper compares the effect of this improved algorithm with the PSO algorithm and the basic cat group algorithm to verify the effectiveness of modified cat swarm optimization algorithm to locate DG optimally.关键词
分布式电源/改进猫群算法/多目标优化/混沌理论/配电网Key words
distributed generation/modified cat swarm algorithm/multi-objective optimization/chaos theory/distribution network引用本文复制引用
杨磊,杨晓辉,吴越,温和昌,朱云丰..基于改进猫群算法的分布式电源优化配置[J].电力系统保护与控制,2019,47(1):95-100,6.基金项目
国家863课题资助(2013AA013804) （2013AA013804）
国家自然科学基金项目资助(51765042,61463031,61662044) （51765042,61463031,61662044）
江西省科技支撑计划项目资助(20142BBE50037,20151BBE50050) （20142BBE50037,20151BBE50050）
