An Improved Detection Technique for Voltage Sag using the Wavelet Transform

  • Kim, Chul-Hwan (School of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Gyeonggi) ;
  • Lee, Jong-Po (Digital Display & Media Research Laboratory, LG Electronic Inc., Kumi-si, Kyungbuk) ;
  • Ahn, Sang-Pil (Electrical Testing & Research Laboratory, Korea Electrotechnology Research Institute, Uiwang, Kyunggi-do) ;
  • Kim, Byung-Chun (R&D center, Kwangmyung Electrical Engineering, Ansan, Gyeonggi)
  • Published : 2001.12.01

Abstract

This paper presents a discrete wavelet transform approach for detecting voltage sags initialized by fault conditions and starting of larger motors. The proposed technique is based on utilizing the summation value of D1(at scale 1) coefficients in multiresolution analysis(MRA) based on the discrete wavelet transform. In this paper, the proposed technique is tested under various cases of voltage sags. It is shown that the voltage sag detection technique based on the wavelet transform is a satisfactory and reliable method for detecting voltage sags in power quality disturbance analysis.

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