Abstract
This paper introduces a high efficient compression method for power quality (PQ) signals. The proposed method makes use of the interpolated discrete Fourier transform algorithm for estimating the parameters (amplitude, frequency, and phase) of the fundamental and harmonic components and separates them from the transient ones in the original PQ signal. When these transient components are submitted to the compression technique, the sparse representation property of the wavelet transform (WT) provides an improvement in the compression ratio (CR). The experimental results show that the proposed method is suitable for various types of PQ signals and that it achieves a higher CR compared to the traditional WT-based compression techniques.
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