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A Statistic-Fuzzy Technique for Clustering Load Curves

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4 Author(s)
Wenyuan Li ; British Columbia Transmission Corp., Vancouver, BC ; Jiaqi Zhou ; Xiaofu Xiong ; Jiping Lu

This letter presents a statistic-fuzzy technique for clustering load curves. Historical statistical records of load curves are used to create membership functions of the compatible fuzzy relation matrix and the self-multiplication rule of the fuzzy matrix is used to obtain the transferable nearness coefficients which can be utilized to systematically perform clustering of load curves. An example is given to demonstrate the application

Published in:

IEEE Transactions on Power Systems  (Volume:22 ,  Issue: 2 )