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PeriodicalsElectronics & Telecommunication Engineering

Study of power load classification based on adaptive fuzzy C means

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Abstract & Overview

For the load time-variant characteristic in load modeling,this paper proposes a classification approach of the power load characteristics based on adaptive fuzzy C-means algorithm.It discusses the applications of clustering analysis in load characteristics classification,including the clustering feature vectors selection and study of the classification means.Based on study of the classification number C in the primal fuzzy C-means clustering algorithm,a new clustering validity function is added into the original fuzzy C-means to improve the original method,and the improved algorithm does not require pre-selected number of classes as a priori.A load classification example result with data based on dynamic simulation shows that the method can automatically obtain the best classification number,and classification is better than the original algorithm.

Cite this record

Qiang Niu (2010). Study of power load classification based on adaptive fuzzy C means. Power System Protection and Control. https://library.shubhaarti.in/content/9aa5a236-cd28-4e07-9f87-45689fbcd5f0

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Niu, Q. (2010). Study of power load classification based on adaptive fuzzy C means. Power System Protection and Control. https://library.shubhaarti.in/content/9aa5a236-cd28-4e07-9f87-45689fbcd5f0
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