基于模糊聚类和灰色理论的各行业与全社会用电量关联分析  

Correlative Analysis of Power Consumption for Various Industries to Whole Society Based on Fuzzy Clustering and Grey Theory

作　　者：侯勇[1] 张荣乾[1] 谭忠富[1] 王成文[1] 曹福成[1] 

机构地区：[1]华北电力大学电力经济研究所,北京市昌平区102206

出　　处：《电网技术》2006年第2期46-50,共5页Power System Technology

基　　金：国家自然科学基金资助项目(70373017;70571023)~~

摘　　要：分析了灰色关联理论的优缺点,提出了基于模糊理论和灰色理论的各行业与全社会用电量关联分析方法,先用模糊聚类分析的方法对分析对象进行分组,再进行各个评价组对于参考对象的灰色关联分析,从而得到每个评价对象对于参考对象的关联度排序。在关联分析中引入了熵权法来克服平均关联度的缺点。对选取的17个行业用电量与全社会用电量的关联分析证明了该方法的有效性。The merits and drawbacks of grey correlation theory are analyzed, and on the basis of fuzzy theory and grey theory a correlative analysis method of power consumption for various industries to whole society is proposed. At first, using fuzzy clustering analysis the analytical objects are divided into groups, then the grey correlative analysis of each evaluated group to referential object is conducted, thereby the ordering of correlation degree for each evaluated object to referential object is obtained. The defect of average correlation degree is surmounted by leading the entropy weight method into correlative analysis. The results of correlative analysis on power consumption of the chosen seventeen industries to whole society verify the effectiveness of the proposed method.

关 键 词：模糊聚类 灰色理论 熵权法 用电量 关联分析 

分 类 号：TM715[电气工程—电力系统及自动化]