Classifying short duration voltage disturbances a using fuzzy expert system

Ghafour Amouzad Malidiraji, Azah Mohamed

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

1 Citation (Scopus)

Abstract

In this paper, fuzzy logic is applied for identifying and classifying the short duration voltage variations of 8, 32 and 128 cycles waveforms. A program is written in Matlab to determine the parameters such as duration, maximum and minimum root mean square voltages of a disturbance by using the fast Fourier transform analysis. Based on these parameters, a fuzzy inference system has been developed with five fuzzy inputs, three fuzzy outputs and 139 fuzzy rules. The inputs are the maximum and minimum voltage magnitudes in per unit and disturbance duration in seconds. On the other hand, the outputs are namely outputl, output2 and output3 in which output1 is for classifying instantaneous sag, non sag and momentary sag, output2 is for classifying instantaneous swell, non swell and momentary swell and output3 for classifying instantaneous interruption, non interruption and momentary interruption. The proposed fuzzy expert system has been tested with 1015 recorded voltage disturbances consisting of sags, swells, interruptions, transients, voltage notching and multiple disturbance waveforms. The results have proved that the developed fuzzy system has accurately identified and classified 98.42% of the tested voltage disturbances.

Original languageEnglish
Title of host publicationSCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region"
Pages215-219
Number of pages5
DOIs
Publication statusPublished - 2006
Event2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006 - Shah Alam
Duration: 27 Jun 200628 Jun 2006

Other

Other2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006
CityShah Alam
Period27/6/0628/6/06

Fingerprint

Expert systems
Electric potential
Fuzzy inference
Fuzzy rules
Fuzzy systems
Fast Fourier transforms
Fuzzy logic

Keywords

  • Fuzzy expert system
  • Power quality
  • Sag
  • Swell and interruption

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Malidiraji, G. A., & Mohamed, A. (2006). Classifying short duration voltage disturbances a using fuzzy expert system. In SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region" (pp. 215-219). [4339341] https://doi.org/10.1109/SCORED.2006.4339341

Classifying short duration voltage disturbances a using fuzzy expert system. / Malidiraji, Ghafour Amouzad; Mohamed, Azah.

SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. p. 215-219 4339341.

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

Malidiraji, GA & Mohamed, A 2006, Classifying short duration voltage disturbances a using fuzzy expert system. in SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region"., 4339341, pp. 215-219, 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006, Shah Alam, 27/6/06. https://doi.org/10.1109/SCORED.2006.4339341
Malidiraji GA, Mohamed A. Classifying short duration voltage disturbances a using fuzzy expert system. In SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. p. 215-219. 4339341 https://doi.org/10.1109/SCORED.2006.4339341
Malidiraji, Ghafour Amouzad ; Mohamed, Azah. / Classifying short duration voltage disturbances a using fuzzy expert system. SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. pp. 215-219
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