Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS
American Journal of Electrical Power and Energy Systems
Volume 2, Issue 6, November 2013, Pages: 149-155
Received: Oct. 29, 2013; Published: Nov. 20, 2013
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Authors
Noha Mahmoud Bastawy, Electrical Power & Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt
Hossam El-din Talaat, Electrical Power & Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt
Amr Mohamed Ibrahim, Electrical Power & Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt
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Abstract
A new approach for detecting and classifying a fault for transmission line compensated with Flexible AC Transmission System (FACTS) is presented in this paper. Unified Power Flow Controller (UPFC) is one of the most advanced FACTS devices that can simultaneously and independently control both the real and reactive power flow in a transmission line. The proposed technique consists of preprocessing module based on Discrete Wavelet Transform (DWT) in combination with Artificial Neural Network (ANN) or Gaussian Process (GP) for detecting and classifying fault events.
Keywords
Neural Network, Gaussian Process, Discrete Wavelet Transform, FACTS
To cite this article
Noha Mahmoud Bastawy, Hossam El-din Talaat, Amr Mohamed Ibrahim, Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS, American Journal of Electrical Power and Energy Systems. Vol. 2, No. 6, 2013, pp. 149-155. doi: 10.11648/j.epes.20130206.15
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