Publication

Abstract : Power quality monitoring and parameter estimation are essential for the proper functioning of modern power grids. Various techniques have been proposed to estimate the characteristics of power signals and to gain insight into their dynamics. Non-stationary Fourier mode decomposition (NFMD) is a new interpretable time-frequency analysis framework for non-stationary and nonlinear signals. This work investigates the prospects of NFMD in the estimation of power-system characteristics such as fundamental frequency, amplitude and presence of disturbance components. Usage of NFMD as a noise removal technique is also explored in the current work. Results show that NFMD is robust to noisy disturbances and can perform well in noisy environments. The proposed methodology can be used for real-time analysis and interpretation of large volume of data from advanced smart metering techniques such as microphasor measurement units in microgrids.