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粒子群优化算法及其在电力系统中的应用 被引量：18

Particle Swarm Optimization and Its Applications in Power Systems
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摘要 PSO(粒子群优化)算法是一种新兴的优化技术。该算法可调参数少,简单易实现且功能强大。文章详细介绍了PSO的基本原理、各种改进算法以及它们在电力系统中的应用,并对今后可能的应用指出了研究方向。 Particle swarm optimization （PSO） is a new optimization technique. This method is easy to implement and possesses excellent performance. It has a few parameters needing to be tuned. The basic principles of PSO are presented. Various improvements and applications of PSO in power system are suggested. The research trends towards the applications in the future is predicated.
作者 魏星 崔鹏程
机构地区 武汉大学电气工程学院
出处 《电力科学与工程》 2005年第3期21-24,30,共5页 Electric Power Science and Engineering
关键词 粒子群优化 演化算法 电力系统 particle swarm optimization evolutionary algorithm power system
分类号 TM711 [电气工程—电力系统及自动化]
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参考文献6

二级参考文献51

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共引文献166

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二级引证文献61

电力科学与工程
2005年 第3期

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