Cluster Analysis for Power Factor Correction: A Comparative Study
Ashraful Hossain
Corresponding
Indian Institute of Technology, Kharagpur
Habibur Bhuiyan
Indian Institute of Technology, Madras
Ming Mensah
Aachen University of Technology
Nurul Mensah
University of California, Berkeley
Abstract
The growing scale of refrigeration plant has exposed several shortcomings in existing approaches to power factor correction. Experimental data collected from refrigeration plant are interpreted with the aid of cluster analysis. The analysis reveals that power factor correction is governed principally by 6 independent parameters. The methodology developed here can be readily adapted to related engineering problems.
Keywords:
power factor correctioncluster analysisfuzzy logicfluid flowwater qualitywavelet transform
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