基于模糊综合评价的聚类分析在电力负荷建模中的应用  

Application of Fuzzy Comprehensive Evaluation Clustering in Power Load Modeling

作　　者：韩肖清[1] 姚岳[1] 

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《山西电力》2012年第4期1-5,共5页Shanxi Electric Power

摘　　要：阐述了在电力负荷建模中,统计综合法建模是以典型用户的选取为基础的,在此基础上,通过分析变电站综合负荷的构成以及用户设备容量比例,提出了基于模糊综合评价的聚类和模糊C均值聚类两种方法,并对某市工业典型用户进行分类,结果表明基于模糊综合评价的聚类分析能够克服模糊C均值聚类法中主观差异性对分类的影响,概念更为清晰,聚类结果更为合理。Load modeling which is based on component-based modeling approach should choose typical users as its foundation. Through analyzing the constitution of composite loads in substation and the proportion of consumer＇s load, the methods fuzzy comprehensive evaluation based clustering and the fuzzy C means clustering （FCM） are put forward. The typical users of industry are classified and the results show that the method of fuzzy comprehensive evaluation clustering can overcome the effects of subjective diversities on results of FCM, with the conception being much clearer, and the results of clustering being more reasonable.

关 键 词：电力系统 负荷建模 统计综合法 模糊综合评价 模糊聚类 

分 类 号：TM743[电气工程—电力系统及自动化]