Power swing detection for correct distance relay operation using S-transform and neural networks

Ahmad Farid Abidin, Azah Mohamed, Hussain Shareef

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

2 Citations (Scopus)

Abstract

This paper presents an advanced technique for detecting power swings for distance relay operation. It uses a derivative of voltage and signal processing technique called as S-transform for feature extraction. Then an artificial neural network (ANN) is deployed in detecting the unstable swing in power systems. This approach overcomes the traditional relay scheme drawback, by distinguishing a fault, stable swing and unstable swing. To illustrate the effectiveness of the proposed approach, simulations were carried out on the IEEE 39 bus test system using the PSS/E software. Test results show that the proposed approach can effectively differentiate the fault, stable swing and unstable swing with a good accuracy.

Original languageEnglish
Title of host publication2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts
Pages279-284
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Shah Alam, Selangor, Malaysia
Duration: Jun 6 2011Jun 7 2011

Publication series

Name2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts

Conference

Conference2011 5th International Power Engineering and Optimization Conference, PEOCO 2011
Country/TerritoryMalaysia
CityShah Alam, Selangor
Period6/6/116/7/11

Keywords

  • Artificial Neural Network (ANN)
  • Distance relay
  • S-transform
  • fault
  • stable swing and unstable swing

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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