Review of power quality signal compression based on wavelet theory

Power quality (PQ) signals are the foundation of power quality analysis. Aim to get accurate analysis results, PQ signals should be recorded with high simple rate. Traditional power quality signal record methods with no data compression get a large amount of data set. It will cause the waste of memory space and difficult to transmit the data set. Wavelet transform is a very effective method for PQ signal compression. Therefore, this paper provides a status report of wavelet based PQ signals compression in the time-frequency domain through an overview of recent contributions. The results of the literature review indicate that power quality signals compression using wavelet transform is a very powerful tool and has been utilized in power system effectively. Wavelet-based compression methods using different types of wavelet transform and optimal wavelet thresholds have high compression ratio and reserve important details of original signals. The expectation is that further research and applications of wavelet will be widely applied in power quality signal compression.