Case Studies of Event Detection for Indian Power System using Signal Processing Methods

Abstract

With the deployment of phasor measurement units (PMU) and wide area measurement system (WAMS), it is feasible to have an insight into the real-time events occurring in power systems based on measured PMU data. Any critical disturbance occurring in a power system is noted as an Event. The analysis carried out in this paper are based on PMU data inferences derived using various signal processing methods like Fast Fourier Transform, Yule-Walker Spectral Analysis, Matrix Pencil and Min-Max. The results of each of these methods have been described and an intersection of results from two or more methods are finally identified as Events. The results have been compiled on two different data sets: one for the Northern Region of Indian Power Grid and another for entire Indian power system. The data with respect to Northern Region was collected on 20th May 2020, during the cyclone Amphan, which caused many disruptions in electric power network. The second data was gathered from 30 stations all over India during an electromechanical oscillation fault. © 2021 IEEE.