电网技术2011，Vol.35Issue(12)：183-189,7.
基于多目标混沌量子遗传算法的分布式电源规划
Distributed Generation Planning Based on Multi-Objective Chaotic Quantum Genetic Algorithm
摘要
Abstract
In allusion to economic-technical optimization objective of distribution network to which distributed generation （DG） is added, a mathematical model for multi-objective planning of DG is given. Integrating real-coded quantum generic algorithm with such multi-objective optimization strategies as non-dominated sorting, elite reservation and hierarchical clustering, a multi-objective chaotic quantum generic algorithm is proposed, and comprehensive planning research on installation sites and capacities of DGs is performed. Analysis on calculation results shows that the proposed algorithm possesses better performances in computational accuracy, convergence speed and searching ability than traditional multi-objective generic algorithms, thus it is available for reference to the implementation of multi-objective planning of DGs.关键词
分布式电源/多目标规划/量子遗传算法/混沌Key words
distributed generation （DG）/multi-objective planning/quantum genetic algorithm/chaos分类
信息技术与安全科学引用本文复制引用
王瑞琪,李珂,张承慧,杜春水,褚晓广..基于多目标混沌量子遗传算法的分布式电源规划[J].电网技术,2011,35(12):183-189,7.基金项目
国家863高技术基金项目（2009AA05Z212）. （）
