Compressive Sensing plus Taylor-Fourier Transform for Synchrophasor Estimation

The synchrophasor Standard IEEE C37.118.1, along with its amendment, defines two compliance classes for phasor measurement units (PMUs), the different test signals to be adopted for verification and the limits that should be respected for each test condition. In recent years, many synchrophasor estimation algorithms have been proposed to deal with the operative conditions identified by the standard, that can be both steady state and dynamic. The research has shown that some disturbances, such as interharmonic interfering signals, can seriously degrade synchrophasor measurement accuracy. In this work, a new two-stage approach, relying on Compressive Sensing (CS) and Taylor Fourier Transform (TFT), is proposed to identify the most relevant interfering components in the signal spectrum and to limit their impact on synchrophasor estimation. Simulation results are reported to confirm the algorithm efficiency.