Automatic classification of power quality disturbances using optimal feature selection based algorithm

The development of renewable energy sources and power electronic converters in conventional power systems leads to Power Quality (PQ) disturbances. This research aims at automatic detection and classification of single and multiple PQ disturbances using a novel optimal feature selection based on Dis...

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Bibliographic Details
Main Author: Khokhar, Suhail
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://eprints.utm.my/id/eprint/60724/1/SuhailKhokharPFKE2016.pdf
http://eprints.utm.my/id/eprint/60724/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:93976
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Institution: Universiti Teknologi Malaysia
Language: English