Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS

Noha Mahmoud Bastawy; Hossam El-din Talaat; Amr Mohamed Ibrahim

doi:doi:10.11648/j.epes.20130206.15

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Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS

Noha Mahmoud Bastawy, Hossam El-din Talaat, Amr Mohamed Ibrahim

Published in American Journal of Electrical Power and Energy Systems (Volume 2, Issue 6)

Received: 29 October 2013 Published: 20 November 2013

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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.

Published in	American Journal of Electrical Power and Energy Systems (Volume 2, Issue 6)
DOI	10.11648/j.epes.20130206.15
Page(s)	149-155
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Neural Network, Gaussian Process, Discrete Wavelet Transform, FACTS

References

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APA Style

Noha Mahmoud Bastawy, Hossam El-din Talaat, Amr Mohamed Ibrahim. (2013). Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS. American Journal of Electrical Power and Energy Systems, 2(6), 149-155. https://doi.org/10.11648/j.epes.20130206.15

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ACS Style

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. Am. J. Electr. Power Energy Syst. 2013, 2(6), 149-155. doi: 10.11648/j.epes.20130206.15

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AMA Style

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. Am J Electr Power Energy Syst. 2013;2(6):149-155. doi: 10.11648/j.epes.20130206.15

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@article{10.11648/j.epes.20130206.15,
  author = {Noha Mahmoud Bastawy and Hossam El-din Talaat and Amr Mohamed Ibrahim},
  title = {Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {2},
  number = {6},
  pages = {149-155},
  doi = {10.11648/j.epes.20130206.15},
  url = {https://doi.org/10.11648/j.epes.20130206.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20130206.15},
  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.},
 year = {2013}
}

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TY  - JOUR
T1  - Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS
AU  - Noha Mahmoud Bastawy
AU  - Hossam El-din Talaat
AU  - Amr Mohamed Ibrahim
Y1  - 2013/11/20
PY  - 2013
N1  - https://doi.org/10.11648/j.epes.20130206.15
DO  - 10.11648/j.epes.20130206.15
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 149
EP  - 155
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20130206.15
AB  - 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.
VL  - 2
IS  - 6
ER  -

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Author Information

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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APA Style

Noha Mahmoud Bastawy, Hossam El-din Talaat, Amr Mohamed Ibrahim. (2013). Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS. American Journal of Electrical Power and Energy Systems, 2(6), 149-155. https://doi.org/10.11648/j.epes.20130206.15

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ACS Style

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. Am. J. Electr. Power Energy Syst. 2013, 2(6), 149-155. doi: 10.11648/j.epes.20130206.15

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AMA Style

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. Am J Electr Power Energy Syst. 2013;2(6):149-155. doi: 10.11648/j.epes.20130206.15

Copy | Download

@article{10.11648/j.epes.20130206.15,
  author = {Noha Mahmoud Bastawy and Hossam El-din Talaat and Amr Mohamed Ibrahim},
  title = {Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {2},
  number = {6},
  pages = {149-155},
  doi = {10.11648/j.epes.20130206.15},
  url = {https://doi.org/10.11648/j.epes.20130206.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20130206.15},
  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.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Fault Detection and Classification Based on DWT and Modern Approaches for T.L Compensated with FACTS
AU  - Noha Mahmoud Bastawy
AU  - Hossam El-din Talaat
AU  - Amr Mohamed Ibrahim
Y1  - 2013/11/20
PY  - 2013
N1  - https://doi.org/10.11648/j.epes.20130206.15
DO  - 10.11648/j.epes.20130206.15
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 149
EP  - 155
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20130206.15
AB  - 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.
VL  - 2
IS  - 6
ER  -

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