Abstract

Intelligent-based protective relays in the power system is currently growing very rapidly with the use of embedded systems and artificial intelligence algorithms. Overcurrent relays operated based on the standard characteristic curve will move toward digital overcurrent relay (DOCR) using a flexible characteristic curve based on the user settings. DOCR with the standard characteristic curve cannot be used if the user must make modifications to the curve for field implementation purpose. In this paper, a new DOCR based on modeling a characteristic curve using Artificial Neural Network (ANN) will be presented. Four types DOCR with the standard and user-defined characteristic curve were developed and tested. Results demonstrate their successful operation with highly accurate results. The results also prove that the proposed DOCR with user-defined characteristic curve may serve as a convenient alternative to the conventional DOCR particularly on the implementation phase.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
EditorsMary Yang, Hamid R. Arabnia, Leonidas Deligiannidis, Leonidas Deligiannidis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages478-483
Number of pages6
ISBN (Electronic)9781509055104
DOIs
Publication statusPublished - 17 Mar 2017
Event2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States
Duration: 15 Dec 201617 Dec 2016

Publication series

NameProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016

Conference

Conference2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
Country/TerritoryUnited States
CityLas Vegas
Period15/12/1617/12/16

Keywords

  • characteristic curve
  • digital overcurrent relay
  • modeling
  • neural network
  • user defined

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