Bibliographic Review on Power Oscillation Detection Methods

Abstract:
The detection and damping of oscillations have become one of the key aspects to consider for preventing system instabil-ity. The importance lies in the fact that oscillations in a system can cause instability and lead to malfunctions, damage, or even catastrophic failures. Detecting and damping oscillations at an early stage can prevent them from amplifying and ultimately stabilize the system. Furthermore, detecting and damping oscillations can improve system performance and increase the lifetime of the components involved, as well as improve overall system reliability and safety. Therefore, it is crucial to prioritize the detection and damping of oscillations as part of system design and maintenance. This paper anal-yses different methods for power oscillation detection in the electric grid. The scope of the paper is to compare and identify the most suitable power oscillation detection method for field applications, with the main objective of detecting interarea oscillations. The comparison concerns the Matrix Pencil Method, Prony Analysis, and the Fast Fourier Trans-form (FFT). The performance of the three methods is tested when detecting interarea oscillations in a simulated signal in an electric system to evaluate their sensitivity, time response and accuracy against this phenomenon by comparing the results with the DIgSILENT PowerFactory (DSPF) eigenvalue tool. The expected outcomes of the study include identi-fying the most suitable method for practical power system applications and providing recommendations for implementing power oscillation detection techniques in the field.