An Investigation of Different PMU phasor estimation techniques Based on DFT Using MATLAB

Phasor Measurement Unit (PMU) is the essential component in the modern power grid which plays a significant role in monitoring, control and protection of the power system networks in real time. PMUs are able to provide time stamped synchronized measurements of voltage and current phasors using Global Positioning System (GPS) satellites, in microseconds, to maintain the power system network free of faults and hence healthy. Different phasor estimation techniques such as Kalman filter and Discrete Fourier transform (DFT) may be used by PMUs to estimate phasors. In this research work, the implementation of non-recursive, recursive and smart DFT techniques have been investigated for modeling the PMU using MATLAB. Then, mathematical differences among these algorithms are briefly highlighted as well as advantages and drawbacks of each.