Measurement and Analysis for Power Quality Using Compressed Sensing

Advanced metering system (AMI) is a new advanced metering system for the two-way measurement and interaction operation in Smart Grid, single-phase power quality parameters measurement has become one of the most attractive research topics in recent years. A CS approach based on two-dimensional image compression for power quality analysis is proposed. Since the sampling information of power quality (PQ) has outstanding frequency-domain sparse characteristics; it can be applied into the analysis of theoretical model with two-dimensional image compression algorithm using compressed sensing (CS). According to the single-phase power quality measurement using compressed sensing, a two-dimensional sparse measurement model on voltage, current and power signals is established. Only a few amount of points of electrical state power signal is sampled. Using these samples, power signal is recovered in order to effectively detect the operating status of the power quality parameters involving harmonic, instantaneous power disturbance, etc. The performance of the proposed approach and other different schemes are compared through numerical experiments and analysis of compression sampling ratio (CSR), signal to noise ratio (SNR), mean squared error (MSE), energy recovery percentage (ERP). Numerical results have shown that CS based power quality analysis approach behaves extremely well in practice.