Abstract

The problems arising in loop electrical network system is a relay setting that follows changes in the system such as power source operation, regular maintenance and damage to powers source. To obtain an adaptive relay which is capable of following the changes in the network system, this paper is proposes the modeling of the coordination of the power system network with the cascade forward neural network (CFNN) by simulating three power sources, fifteen protection relays, six buses, and three loads. CFNN applied in the directional overcurrent relay (DOCR) curve model using sample data from protection coordination in loop electrical network system. On the modeling process by comparing some number of neurons and learning rate to get the best accuracy and time speed with four combination input and two outputs. The results of modeling relay using CFNN method showed mean square error of 3,24e-06 with a current contribution of 95% and mean square error of 2,10e- 03 with a current contribution of 105% and from modeling is very accurate and can be applied to digital overcurrent relay.

Original languageEnglish
Title of host publication2017 International Seminar on Intelligent Technology and Its Application
Subtitle of host publicationStrengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
ISBN (Electronic)9781538627068
DOIs
Publication statusPublished - 28 Nov 2017
Event18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017 - Surabaya, Indonesia
Duration: 28 Aug 201729 Aug 2017

Publication series

Name2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
Volume2017-January

Conference

Conference18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1729/08/17

Keywords

  • Cascade forward neural network
  • Digital overcurrent
  • Directional overcurrent relay
  • Protection relay

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