计算机工程与应用2012，Vol.48Issue(8)：239-242,4.DOI:10.3778/j.issn.1002-8331.2012.08.068
差分进化粒子群算法求解发电资源调度问题
Differential evolution particle swarm algorithm for powerresources scheduling problem
摘要
Abstract
In order to solve hydrothermal power system resource short-term optimization scheduling problem, a novel scheduling solution based on differential evolution particle swarm optimization algorithm is proposed. The mathematical model of hydrothermal power system resource scheduling problem is designed, the framework of differential evolution particle swarm optimization algorithm is given, the information exchange mechanism between PSO population and DE population for the optimal particle location is introduced to make proposed algorithm easily jump out of local optimum with effective dynamic adaptability. Experimental result shows that proposed algorithm can solve the scheduling problem of hydrothermal power system resource, and has the advantage of good application value.关键词
差分进化/粒子群优化算法/水火电力系统/发电资源调度问题Key words
differential evolution/ particle swarm optimization algorithm/ hydrothermal power system/ power system resource scheduling problem分类
信息技术与安全科学引用本文复制引用
唐俊,胡志敏,王敏..差分进化粒子群算法求解发电资源调度问题[J].计算机工程与应用,2012,48(8):239-242,4.基金项目
湖南省教育厅资助科研项目(No.08D030,07D018). （No.08D030,07D018）
