A Power Quality Monitoring Oriented Time-Space Compressed Sensing Method
Yang Sun · Power System Technology · 2015
Investigated here is a time-space compressed sensing method to reduce the data acquisition amount and front-end traffic load in power quality monitoring system. Sparse sampling is adopted based on compressed sensing as an alternative option to the traditional Nyquist sampling. Considering the data correlation among user areas of a same type, the electricity data are projected into a two-dimensional matrix and then the time-space compressed sensing is achieved through two-dimensional discrete cosine transform. Furthermore, a self-detection mechanism is proposed to recognize the shock pulse signal. Experiment results verify that the method could reconstruct the data accurately with high compression ratio and short reconstruction period. The data processing capacity is increased, and the operating efficiency is improved.