Research ArticleOpen AccessGoogle Scholar indexed
Fault Classification and Localization in Power Systems Using Fault Signatures and Principal Components Analysis
Electrical Engineering Department, Tafila Technical University, Tafila, Jordan
Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, USA
Energy Engineering Department, German Jordanian University, Amman, Jordan
- 1 Electrical Engineering Department, Tafila Technical University, Tafila, Jordan
- 2 Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, USA
- 3 Energy Engineering Department, German Jordanian University, Amman, Jordan
Energy and Power Engineering·Volume 04 (2012)·Pages 506–522·Published 22 November 2012·DOI10.4236/epe.2012.46064
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Abstract
A vital attribute of electrical power network is the continuity of service with a high level of reliability. This motivated many researchers to investigate power systems in an effort to improve reliability by focusing on fault detection, classification and localization. In this paper, a new protective relaying framework to detect, classify and localize faults in an electrical power transmission system is presented. This work will extract phase current values during ( )th of a cycle to generate unique signatures. By utilizing principal component analysis (PCA) methods, this system will identify and classify any fault instantaneously. Also, by using the curve fitting polynomial technique with our index pattern obtained from the unique fault signature, the location of the fault can be determined with a significant accuracy.
KeywordsFault Detection and ClassificationProtective RelayingPCAPSCAD
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