DWT-based Denoising and Power Quality Disturbance Detection

  • Ramzan, Muhammad ;
  • Choe, Sangho
  • Received : 2015.07.15
  • Accepted : 2015.08.29
  • Published : 2015.10.31


Power quality (PQ) problems are becoming a big issue, since delicate complex electronic devices are widely used. We present a new denoising technique using discrete wavelet transform (DWT), where a modified correlation thresholding is used in order to reliably detect the PQ disturbances. We consider various PQ disturbances on the basis of IEEE-1159 standard over noisy environments, including voltage swell, voltage sag, transient, harmonics, interrupt, and their combinations. These event signals are decomposed using DWT for the detection of disturbances. We then evaluate the PQ disturbance detection ratio of the proposed denoising scheme over Gaussian noise channels. Simulation results also show that the proposed scheme has an improved signal-to-noise ratio (SNR) over existing scheme.


Discrete wavelet transform (DWT);Power quality disturbances;Thresholding;Denoising;Detec


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Supported by : National Research Foundation of Korea (NRF)