Abstract
The power quality acquisition method based on compressed sensing (CS) has become an inevitable trend to solve the problem of explosive growth in power quality data. In order to solve the problems that the signal type is not comprehensively considered and the method of power quality acquisition is not universal, which are difficult to adapt to the actual system construction, this paper studies the method of power quality information acquisition and reconstruction method based on CS from a new perspective. Based on power quality acquisition and reconstruction framework using CS, this paper deeply studies the sparse basis, measurement matrix and reconstruction algorithm, classifying and analyzing all kinds of power quality signals as the result. Finally, through the experimental analysis, the construction scheme for three-element of CS is given, which is suitable for power quality acquisition. All the work done in this paper is intended to provide a reference for follow-up research and actual system construction.
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