Application of wavelet cumulative energy and artificial neural network for classification of ferroresonance signal during symmetrical and unsymmetrical switching of three-phases distribution transformer

Mochammad Wahyudi, I. Made Yulistya Negara, Dimas Anton Asfani, I. Gusti Ngurah Satriyadi Hernanda, Daniar Fahmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In the case of the presence of ferroresonance in distribution transformer due to a faulty switching operation, ferroresonance signals should be discriminated among its initiations due to opened single-phase, opened two-phases, and opened three-phases, so that ferroresonance mitigation can be conducted appropriately. However, the performance of mitigation system itself is highly determined by its accuracy in classification of such ferroresonance signals. This paper dealt with the application of wavelet cumulative energy as input of artificial neural network (ANN), that was feed-forward backpropagation network. Ferroresonance was initiated by varying grading capacitance of circuit breaker and switching operations. The fifth order of daubechies wavelet transform up to nine levels was applied to the secondary voltage of transformer. The detail signal at ninth level decomposition was then calculated its cumulative energy for the input of ANN. The ninth level detail signal and its cumulative energy showed that the ferroresonance signals were clearly distinguished between opened single-phase, opened two-phases, and opened three-phases. The ANN output also performed the satisfactory classification result.

Original languageEnglish
Title of host publicationInternational Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-399
Number of pages6
ISBN (Electronic)9781538609453
DOIs
Publication statusPublished - 18 Dec 2017
Event2017 International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017 - Denpasar Bali, Indonesia
Duration: 2 Oct 20175 Oct 2017

Publication series

NameInternational Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017 - Proceeding
Volume2017-January

Conference

Conference2017 International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017
Country/TerritoryIndonesia
CityDenpasar Bali
Period2/10/175/10/17

Keywords

  • Artificial Neural Network
  • Feed-Forward backpropagation.
  • Ferroresonance
  • Symmetrical And Unsymmetrical Switching
  • Wavelet Cumulative Energy

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