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基于差异进化和PC集群的并行无功优化
引用本文:梁才浩,段献忠,钟志勇,黄杰波.基于差异进化和PC集群的并行无功优化[J].电力系统自动化,2006,30(1):29-34.
作者姓名:梁才浩  段献忠  钟志勇  黄杰波
作者单位:[1]华中科技大学电气与电子工程学院,湖北省武汉市430074 [2]香港理工大学电机工程系计算智能应用研究实验室,香港
基金项目:高等学校优秀青年教师教学科研奖励计划项目;教育部科学技术重点项目(104123);香港研究资助局资助项目(PolyU5225/04E).
摘    要:提出了一种在线求解电力系统无功优化问题的方法。该方法基于新的差异进化(DE)算法和并行计算技术,在PC集群上实现优化。IEEE118节点系统的算例表明:DE算法尽管简单,但可快速收敛到近似最优解;采用并行差异进化和适当规模的PC集群,可大大缩短电力系统无功优化的计算时间,使之满足在线应用的需要。

关 键 词:无功优化  差异进化  并行计算  PC集群
收稿时间:2005-06-06
修稿时间:2005-06-062005-07-14

Parallel Reactive Power Optimization Based on Differential Evolution and PC-cluster
LIANG Cai-hao , DUAN Xian-zhong, ZHONG Zhi-yong , HUANG Jie-bo.Parallel Reactive Power Optimization Based on Differential Evolution and PC-cluster[J].Automation of Electric Power Systems,2006,30(1):29-34.
Authors:LIANG Cai-hao  DUAN Xian-zhong  ZHONG Zhi-yong  HUANG Jie-bo
Affiliation:1. Huazhong University of Science and Technology, Wuhan 430074, China;2. The Hong Kong Polytechnic University, Hong Kong, China
Abstract:An approach to on-line optimization of reactive power flow is proposed. It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster. Case study on the IEEE 118-bus system shows that DE, simple as it is, converges fast to the approximate optimal solution. When DE is parallelized and executed on a PC-cluster of moderate size, it is possible to shorten the computing time of reactive power optimization within an acceptable scope, which is needed for on-line application.
Keywords:reactive power optimization  differential evolution(DE)  parallel computing  PC-cluster
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