模糊聚类方法在发电机分群中的应用
Fuzzy method in the application of clustering generators
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。本文用模糊聚类分析方法对受扰后的发电机进行分群研究,对模糊聚类的方法关键参数进行分析,引入F统计比率指标保证发电机分群数目的灵活性。通过New England 10机系统算例测试了相关理论法、三取二分群方法和模糊聚类的方法分群效果,得出模糊聚类方法对暂态稳定分析中受扰发电机的分群是有效、可靠的。
For multi-machine equivalent in transient stability analysis, the grouping of the disturbed generators is the most important issue that needs to be resolved. This paper researches the clustering strategy for the disturbede generators by the fuzzy clustering method, analyzes the key parameters of this method and introduces the statistics ratio F to ensure the flexible clustering number of distrubed generators. The standard New England 10-genetor power system is used to test the effects of the relevant method, the voting clustering method and the fuzzy clustering method. The test results illustrate that the fuzzy clustering method is very effective and credible in clustering disturbed generators for transient stability analysis in power system.
周莹、夏世威、白雪峰
发电、发电厂电气测量技术、电气测量仪器输配电工程
模糊聚类发电机分群暂态稳定分析多机等值
fuzzy clusteringenerater groupingtransient stability analysisMulti-machine equivalent
周莹,夏世威,白雪峰.模糊聚类方法在发电机分群中的应用[EB/OL].(2009-07-03)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200907-88.点此复制
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