基于模糊聚类法的暂态稳定机组分群方法  

A Fuzzy Method for Clustering Generators in Transient Stability Analysis

作　　者：夏世威[1] 白雪峰[1] 陈士麟[2] 郭志忠[1] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,黑龙江省哈尔滨市150001 [2]台湾清华大学电机系,台湾省新竹市30013

出　　处：《电力系统自动化》2010年第2期29-33,共5页Automation of Electric Power Systems

基　　金：高等学校博士学科点专项科研基金资助项目(20060213042)~~

摘　　要：暂态稳定分析多机等值时,受扰发电机的分群是需要解决的首要问题。文中用模糊聚类分析方法对受扰后的发电机进行分群研究,对模糊聚类方法的关键参数进行分析,引入F统计比率指标保证发电机分群数目的灵活性。通过NewEngland10机系统算例比较了相关理论法、三取二分群方法和模糊聚类法的分群效果,分析结果表明模糊聚类法在暂态稳定分析中对受扰发电机的分群有效、可靠。For multi-machine equivalent in transient stability analysis,the grouping of the disturbed generators is the most important issue that needs to be solved.This paper investigates the clustering strategy for the disturbed generators by the fuzzy clustering method,analyzes the key parameters of this method and introduces the statistics ratio index F to ensure the flexibility of clustering number of disturbed generators.The standard New England 10-generator power system is used to test the effectiveness of the relevant method,the voting clustering method and the fuzzy clustering method.The test results illustrate that the fuzzy clustering method is self-adaptive and it is very effective as well as credible in clustering disturbed generators for power system transient stability analysis.

关 键 词：模糊聚类 发电机分群 暂态稳定分析 多机等值 

分 类 号：TM31[电气工程—电机]