Detection of Grid-Signal Distortions Using the Spectral Correlation Function

Alaca O., Ekti A. R., Wilson A., Holliman J., Piersall E., YARKAN S., ...Daha Fazla

IEEE Transactions on Smart Grid, cilt.14, sa.6, ss.4980-4983, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 6
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1109/tsg.2023.3309532
  • Dergi Adı: IEEE Transactions on Smart Grid
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Sayfa Sayıları: ss.4980-4983
  • Anahtar Kelimeler: Feature extraction, grid signature detection, grid signature library, smart grid, spectral correlation function
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

This study proposes a novel method for signal detection and feature extraction based on the spectral correlation function, enabling improved characterization of grid-signal distortions. Our approach differs from existing treatments of signal distortion in its analysis of the varied spectral content of signals observed in real-world scenarios. The method we propose has state-of-the-art discriminative power that provides meaningful and understandable characterizations of various grid events and anomalies. To validate the approach, we use real world data from the Grid Event Signature Library, which is maintained jointly by Oak Ridge National Laboratory and Lawrence Livermore National Laboratory.