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基于粒子群优化的复杂电网故障诊断分析

发表时间:2010-07-31  浏览量:1078  下载量:524
全部作者: 钱磊,王锦秀,徐青山
作者单位: 东南大学电气工程学院
摘 要: 研究介绍了适合优化算法的电网故障诊断模型,分析了粒子群算法的优化特性,在此基础上提出了利用粒子群优化算法进行电网故障诊断的分析方法,与传统的优化算法相比,粒子群算法在多维函数寻优、动态目标寻优等方面有着收敛速度快、求解质量高、鲁棒性好等优点。算例结果表明:这种优化算法大大地减少了迭代次数,缩短了诊断时间,提高了求解的精确性,有很好的研究前景。
关 键 词: 电力系统;故障诊断;粒子群优化算法;惯性权重
Title: The fault diagnosis of complex grid based on particle swarm optimization
Author: QIAN Lei, WANG Jinxiu, XU Qingshan
Organization: School of Electrical Engineering, Southeast University
Abstract: Power consumers are requesting more on reliability while the network fault is inevitable due to the reasons of operation, maintenance, insulation and et al. Fast fault diagnosis and elimination can enhance the speed of examine, repair and restoration, as well as operation stability and reliability, which leads to more national profits. As a burgeoning evolutionary computation technology, swarm intelligence is now becoming a new research hotspot; it is a kind of effective method to solve most global optimal problems.
Key words: power system; fault diagnosis; particle swarm optimization; inertia weight
发表期数: 2010年7月第14期
引用格式: 钱磊,王锦秀,徐青山. 基于粒子群优化的复杂电网故障诊断分析[J]. 中国科技论文在线精品论文,2010,3(14):1457-1463.
 
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