关键词: 关键词: 电能质量监测, 稀疏采样, 压缩感知, 模拟信息转换器, 重构

Abstract: Abstract: Power quality is a very important issue which deserves careful attention in the power industry. Power quality monitoring is becoming more and more important in modern power system, so the high performance power quality monitoring system is of practical significance. But due to the power quality signals contains abundant high frequency components, it will bring great challenges to sampling system and subsequent data storage and transmission if the sampling frequency is determined by Shannon/Nyquist theorem. In view of the above problems, a new method of power quality signal acquisition based on sparse sampling is proposed in this paper. Analog electrical signals are transformed for discrete signals by analog-to-information converter and the power quality signals are reconstructed by the sparse sampling method based on the compressed sensing principle. Thus the power quality signal can be obtained efficiently and accurately, the possible fault signal can be found, the power system can be kept in the stable operation and the quality of the residents and the industrial power can be improved. The experiment results show that, the error between the signal obtained by reconstruction and the actual signal is small and the method proposed in this paper can be used to collect power quality signals efficiently and accurately.

Key words: power quality monitoring, sparse sampling, compressed sensing, analog-to-information converter, reconstruction