摘要
以电力系统状态估计为背景,运用模糊聚类方法构建基于IEEE33含光伏系统仿真计算模型,采用模糊等价矩阵的聚类分析方法编写相关程序,对照仿真结果与理论结果,总结模糊聚类法对不良数据的辨识能力,为电力系统稳定运行提供参考。
Against the background of power system state estimation, the fuzzy clustering method based on IEEE33 including photovoltaic system simulation model was constructed. The fuzzy equivalent matrix clustering analysis method is used to write the related program to contrast the simulation results and theoretical results, summarizes the fuzzy clustering method for bad data identification ability, in order toprovide reference for stable operation of power system.
作者
周嘉伦
刘可一
刘晓伟
ZHOU Jialun;LIU Keyi;LIU Xiaowei(College of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang 110161,China;State Grid Shenyang Electric Power Supply Company,Shenyang 110000,China;Measurement Center,State Grid Liaoning Electric Power Supply Company,Shenyang 110000,China;Dalian Rural Power Supply Service Co.,Ltd.,Dalian Liaoning 116001,China)
出处
《农业科技与装备》
2018年第5期13-16,共4页
Agricultural Science & Technology and Equipment
关键词
状态估计
不良数据辨识
模糊聚类法
模糊等价矩阵
state estimation
bad data identification
fuzzy clustering method
fuzzy equivalent matrix
