DWT and Bayesian technique for enhancing earth fault protection in MV networks

Nagy I. Elkalashy, Matti Lehtonen, Naser G. Tarhuni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, a Bayesian selectivity technique is introduced to identify the faulty feeder in compensated medium voltage (MV) networks. The proposed technique is based on a conditional probabilistic method applied on features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). DWT enhances to localize initial transients generated in the network due to the fault event. The absolute sum of a window of the DWT detail coefficient is used to detect the fault. The conditional probability provides the selectivity decision. The fault cases occurring at different locations in a compensated 20 kV network are simulated by ATP/EMTP concerning practical fault case such as arcing faults. Test results corroborate the efficacy of proposed technique.

Original languageEnglish
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
Publication statusPublished - 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: Mar 15 2009Mar 18 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
CountryUnited States
CitySeattle, WA
Period3/15/093/18/09

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Keywords

  • DWT
  • Earth fault detection
  • Initial transients
  • Probability
  • Residual current

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Elkalashy, N. I., Lehtonen, M., & Tarhuni, N. G. (2009). DWT and Bayesian technique for enhancing earth fault protection in MV networks. In 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 [4840121] https://doi.org/10.1109/PSCE.2009.4840121