Characteristics Analysis of Power Load Based on Fuzzy Clustering

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Characteristics Analysis of Power Load Based on Fuzzy Clustering

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[1]LI Canbing,QU Fang,WANG Xiaoning,et al.Characteristics Analysis of Power Load Based on Fuzzy Clustering[J].Journal of Zhengzhou University (Engineering Science),2010,31(01):110-.

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 31 Number of periods: 2010 01 Page number: 110- Column: Public date: 2010-01-30

Title:: Characteristics Analysis of Power Load Based on Fuzzy Clustering

Author(s):: LI Canbing; QU Fang; WANG Xiaoning; etc; 1．School of Electrical Engineering，Zhengzhou University，Zhengzhou 450001，China；2．Anyang Electrical Power Company，Anyang 455000，China

Keywords:: power system; load characteristics; classification and synthesis; fuzzy clustering

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Abstract:: The Adaptive Vector Quantization(AVQ)neuronic network fuzzy clustering means are used toclassify and synthesize load characteristics in this paper．The composition proportion of substation load is usedas the characteristic vector．Two classification approaches are studied，including AVQ neuronic network fuzzyclustering means and Fuzzy C Means(FCM)．In case study，a case with 44 substations of Fujian province isstudied using these two means．Both of them could obtain the clustering center and aggregate load characteristics．They have a clear advantage over other clustering means．Compared with FCM，AVQ fuzzy clusteringmeans process large amounts of data more quickly．And its clustered results are more reasonable．

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