摘要
微分进化是一种基于群体智能的新兴全局优化方法,具有收敛速度快、可调参数少、鲁棒性好、操作简单等特点。介绍了微分进化算法的基本理论,综述了近年来微分进化算法在电网规划、最优潮流、无功优化、机组组合、经济负荷分配、配网优化运行、优化设计等方面应用研究的主要成果与方法,最后对其在电力系统中的应用进行了展望。
The differential evolution（DE） algorithm is a new global searching method based on swarm intelligence.DE has its advantages such as quick convergence,few control parameters,fine robustnees and easy implementation.The basic principles of DE are introduced.The applications of DE in power system planning,optimal power flow,optimal reactive power flow,unit commitment,economic load dispatch,optimal distribution network operation and optimal design in recent years are reviewed.Further research directions of DE in power systems are predicted.
出处
《现代电力》
2009年第5期11-17,共7页
Modern Electric Power
基金
北京市教委科技成果转化与产业化项目
关键词
进化算法
微分进化
群体智能
电力系统
优化
evolutionary algorithm
differential evolution
swarm intelligence
power systems
optimization
