ANFIS-Based Compensation Algorithm for Current-Transformer Saturation Effects

Erenturk K.

IEEE TRANSACTIONS ON POWER DELIVERY, cilt.24, sa.1, ss.195-201, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 1
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1109/tpwrd.2008.2005882
  • Dergi Adı: IEEE TRANSACTIONS ON POWER DELIVERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.195-201
  • Anahtar Kelimeler: Adaptive network-based fuzzy inference system (ANFIS), compensation, current transformers (CTs), saturable cores, SECONDARY CURRENTS, HYSTERESIS, MODELS, IDENTIFICATION
  • Atatürk Üniversitesi Adresli: Evet

Özet

This paper proposes an efficient compensation algorithm based on an adaptive network-based fuzzy inference system capable of converting a sampled current waveform that is distorted by current-transformer (CT) saturation to a compensated current waveform. Quick response time, no cumulative estimation error, desired sample-by-sample output, no dependency of CT parameters/characteristics and secondary burdens, and simplicity are some attractive features of the proposed method. The accuracy and robustness of the introduced compensation algorithm are demonstrated through extensive test cases reflecting a wide range of variations in fault conditions and CT parameters. The proposed algorithm has also been implemented and tested on a digital signal processor board.