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利用基于模糊划分的ISODATA模糊聚类方法识别电力系统同调机群
引用本文:王华芳,卫志农,杨博,张涛,孙国强.利用基于模糊划分的ISODATA模糊聚类方法识别电力系统同调机群[J].电网技术,2005,29(2):19-22.
作者姓名:王华芳  卫志农  杨博  张涛  孙国强
作者单位:河海大学,电气工程学院,江苏省,南京市,210098
摘    要:给出了一种利用基于模糊划分的迭代自组织数据分析技术(ISODATA)模糊聚类方法识别电力系统同调机群的算法.首先介绍了基于模糊划分的ISODATA模糊聚类方法的原理;然后在一些基本假设并对系统元件做了必要简化的基础上,形成了利用该方法识别同调机群的模糊集合;最后通过对新英格兰10机39节点系统的算例仿真验证了该方法的有效性.

关 键 词:NULL
文章编号:1000-3673(2005)02-0019-04
修稿时间:2004年9月20日

AN ISODATA FUZZY CLUSTERING METHOD BASED ON FUZZY PARTITION TO RECOGNIZING COHERENT GENERATOR GROUPS
Wang Huafang,Wei Zhinong,Yang Bo,Zhang Tao,Sun Guangqang.AN ISODATA FUZZY CLUSTERING METHOD BASED ON FUZZY PARTITION TO RECOGNIZING COHERENT GENERATOR GROUPS[J].Power System Technology,2005,29(2):19-22.
Authors:Wang Huafang  Wei Zhinong  Yang Bo  Zhang Tao  Sun Guangqang
Abstract:A coherent generator groups recognition method using iterative self-organizing data analysis techniques algorithm (ISODATA) fuzzy clustering method based on fuzzy partition is proposed. Firstly, the principle of ISODATA fuzzy clustering based on fuzzy partition is presented, then on the basis of fundamental assumption and necessary simplification of system elements the fuzzy set of recognizing coherent generator groups by this method is formed, finally the effectiveness of the proposed method is verified by the simulation of New England 10-machine 39-bus system.
Keywords:Power system  Coherent generator groups  Fuzzy partition  Fuzzy clustering  Iterative self-organizing data analysis techniques algorithm (ISODATA)
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