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  

AN ISODATA FUZZY CLUSTERING METHOD BASED ON FUZZY PARTITION TO RECOGNIZING COHERENT GENERATOR GROUPS

作　　者：王华芳[1] 卫志农[1] 杨博[1] 张涛[1] 孙国强[1] 

机构地区：[1]河海大学电气工程学院,江苏省南京市210098

出　　处：《电网技术》2005年第2期19-22,共4页Power System Technology

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。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.

关 键 词：机群 模糊划分 模糊聚类方法 ISODATA 识别 算法 系统 基本假设 新英格兰 技术 

分 类 号：TM715[电气工程—电力系统及自动化] TP393[自动化与计算机技术—计算机应用技术]