节点文献
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
【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。
【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.
- 【文献出处】 电网技术 ,Power System Technology , 编辑部邮箱 ,2005年02期
- 【分类号】TM711
- 【被引频次】29
- 【下载频次】383