Abstract

In this paper, modeling of overcurrent relay (OCR) curves using adaptive neuro fuzzy inference system (ANFIS) are proposed. The accurate models of OCR curve with inverse time relay characteristics have an important role for protection coordination of power system. Models of OCR curve are appropriate with IEC standard. This model implements of microcontroller AT mega 128 as digital relay and personal computer as facility to design of OCR curve. ANFIS is developed to OCR curve modeling with different types of membership function and each membership function is trained for 10 iterations. Input for training to OCR curve using the load current and current setting or IL/IS. Time to opening the circuit breaker or TCB is used as output for training of OCR curve. ANFIS is developed using visual basic. The simulation results are compared with different types of membership function to obtain the optimal design of OCR curve. Moreover, the testing results are compared with OCR curve modeling to check validation and accuracy of the proposed model.

Original languageEnglish
Title of host publicationProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
EditorsElyas Palantei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-108
Number of pages6
ISBN (Electronic)9781479967261
DOIs
Publication statusPublished - 24 Mar 2014
Event2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014 - Makassar, Indonesia
Duration: 26 Nov 201430 Nov 2014

Publication series

NameProceeding - 2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014

Conference

Conference2014 Makassar International Conference on Electrical Engineering and Informatics, MICEEI 2014
Country/TerritoryIndonesia
CityMakassar
Period26/11/1430/11/14

Keywords

  • ANFIS
  • Overcurrent relay
  • digital relay
  • protection

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