基于灰色关联聚类的负荷特性分类  

Classification of substation load characteristics based on gray relevancy clustering

作　　者：廖向旗[1] 李欣然[1] 李培强[1] 李村晓[1] 胡剑宇[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《电力科学与技术学报》2007年第2期28-33,共6页Journal of Electric Power Science And Technology

基　　金：高等学校骨干教师资助计划项目(教计司[2002]65号);湖南省教育厅重点基金项目(湘教通[2001]197号)

摘　　要：以变电站负荷构成比例为基本特征,以负荷特性之间的灰色关联度作为基本测度指标,把灰色理论应用于负荷特性分类;并定义负荷特性的均值化特征向量,构造灰色关联度矩阵,提出一种基于元件的变电站综合负荷特性的分类方法.对湖南省48个220 KV变电站的负荷特性分类结果表明,该算法简易、快速、有效,分类结果合理,具有广阔的应用前景.Gray system principle is applied to classify load characteristics of substation in this paper. It uses the composition proportion of substation loads as essential characters and uses the gray relevancy degree as the index to measure the similar degree between load characteristics. The averaged characteristics vector of synthesis load is defined, and gray relating matrix is built, a component-based method of load characteristics classification is also proposed for substations. The load characteristics of 48 substations in Hunan 220 kV Power System are classified. Results show that the method is simple, fast, effective and reasonable. It can be widely application in power system.

关 键 词：电力系统 综合负荷建模 变电站负荷特性分类 灰色关联聚类 

分 类 号：TM714[电气工程—电力系统及自动化]