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An Effective Detection Method of Voltage and Frequency Fluctuations Based on a Combination of TEO/DESA and STFT Analysis

  • Soo-Hwan Cho
  • Hoon-Chul Shin
  • Jae-Bum Lee
  • Ho-Sung Jung
  • Seung-Kwon ShinEmail author
Original Article
  • 3 Downloads

Abstract

Nowadays, it is a very essential issue to detect and recognize power quality (PQ) disturbances as soon as possible, because it can give very important information by which various kinds of power quality mitigation devices can respond for each phenomenon quickly and to capture the interested waveform parts instantaneously, and so on. Also, it can be widely used as a trigger or reference signal for data mining to determine the existence of anomalies in the power system. We have studied some applications of Teager Energy Operator (TEO) and its adjunctive techniques known as Discrete Energy Operation Algorithm (DESA) to classify and detect the waveform distortions such as harmonics, inter-harmonics and frequency variation and the voltage synchronization. This paper is written to propose an effective detection method of voltage and frequency fluctuation based on TEO/DESA combined with Short-Time Fourier Transform (STFT), which is designed to overcome the drawback of the former study, a combined TEO and STFT method.

Keywords

PQ detection TEO/DESA Time–frequency analysis Voltage fluctuation Frequency fluctuation 

Notes

Acknowledgements

This research was supported by a grant from R&D Program of the Korea Railroad Research Institute, Republic of Korea.

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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  • Soo-Hwan Cho
    • 2
  • Hoon-Chul Shin
    • 3
  • Jae-Bum Lee
    • 1
  • Ho-Sung Jung
    • 1
  • Seung-Kwon Shin
    • 1
    Email author
  1. 1.Metropolitan Transportation Research CenterKorea Railroad Research InstituteUiwangSouth Korea
  2. 2.Department of Electrical EngineeringSangmyung UniversitySeoulSouth Korea
  3. 3.Korea Power Exchange (KPX)NajuSouth Korea

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