Digital signal processing techniques for compression of power quality disturbance events: new results

This paper addresses the compression of power quality disturbance events when the monitored signals are composed of several harmonics and transients. We propose the use of a new approach for amplitude, frequency, and phase estimations of multiple sinusoids along with a transform coding technique based on discrete wavelet transform for the compression of monitored signals. The new method can be considered as a modified version of the recently proposed enhanced data compression method (EDCM). Numerical results show that the new method not only provide almost the same performance as that of the EDCM when only the fundamental and transient signals are in the monitored signals, but also overcomes the limitation of the EDCM when applied for compression of the monitored signals composed of many harmonic and transient components.