Accuracy and Data Compression Trade-Offs for Power Quality Disturbance Representation with DWT and PCA techniques

Abstract

Abstract. This paper analyses and compares different digital signal processing techniques to capture with fidelity the power lines disturbances. The benefits and shortcomings of both Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) techniques are assessed. Their implementation, application and test-cases with recorded power signals are described in the paper. We define the data compression ratio (or efficiency) and the signal reconstruction accuracy after compression as the main criteria for comparing these techniques. In this paper the trade-offs of accuracy in the disturbances representation and compression efficiency were exploited. After systematic comparisons, our experimental results have shown shortcomings of the DWT and PCA techniques not yet addressed in previous works.