Ultra mega power plant disturbance related oscillation detection in Indian grid using PMU data

Abstract

AbstractThe power system oscillations in the grid are an issue of concern to the system operator. They may transform a stable system into an unstable system when the system is operating on the edge and contingency occurs. The oscillations developed in the system may grow and spread across the power grid if no timely, corrective action is taken to mitigate them. The paper presents the ultra-mega power plant generation complex related blackout analysis. The case study presented in this paper demonstrates the utilization of synchrophasor data to have a better realization about the grid disturbance. It covers some of the important dynamic simulation studies considered representative of various scenarios during this. The paper illustrates utilization of Prony analysis using multiple signals and Fast Fourier Transform methods in conjunction with frequency data obtained in real-time from PMUs installed in the western regional grid of India to determine the frequency of oscillations, its magnitude, and related damping during this disturbance. The focus of this study involves the application of these techniques to gain insight into the oscillatory behavior of the system during this disturbance associated with ultra-mega power plant having generation capacity greater than or equal to 4000 MW from the western part of Indian grid. Based on this, distinct categorization of oscillations into “local mode” and “inter-area mode” of oscillations was done for enhanced understanding about the type of oscillations getting excited during this disturbance.