Abstract：Based on the pattern similarity of periodic signals in the power quality (PQ) events, a novel PQ data compression method is presented in this paper. First, 6 types of PQ event signals are simulated to evaluate the distortion detection ability of different similarity measurement. Once a new PQ event is detected, 2 following cycles of the signals are recorded, where the data compression is implemented by substituting the remaining cycles with the latter cycle of the signals. The proposed approach compresses the PQ signals without reduce the sampling rate. Compared to other compression methods such as wavelet, the compression and reconstruction process of this method is much simpler and more efficient. Moreover, the high frequency features of PQ signal are maintained after compression. Simulation experiments show that our method has low distortion rate, short computational time and high compression rate, which satisfies the requirement of real-world PQ signal compression and analysis.
黄南天, 徐殿国, 刘晓胜, 林琳. 基于模式相似性测度的电能质量数据压缩方法[J]. 电工技术学报, 2011, 26(10): 39-46.
Huang Nantian, Xu Dianguo, Liu Xiaosheng, Lin Lin. Power Quality Data Compression Based on Pattern Similarity Measurement. Transactions of China Electrotechnical Society, 2011, 26(10): 39-46.
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