000151244 001__ 151244 000151244 005__ 20250228122518.0 000151244 020__ $$a978-3-8007-6134-0 000151244 037__ $$aBOOK-2025-314 000151244 041__ $$aeng 000151244 100__ $$aBernal-Sancho, Marta $$b 000151244 245__ $$aBibliographic Review on Power Oscillation Detection Methods 000151244 250__ $$a1st ed. 000151244 260__ $$aHamburgo$$bIEEE$$c2023 000151244 300__ $$a66-71 000151244 506__ $$aall-rights-reserved 000151244 520__ $$aThe detection and damping of oscillations have become one of the key aspects to consider for preventing system instabil-ity. The importance lies in the fact that oscillations in a system can cause instability and lead to malfunctions, damage, or even catastrophic failures. Detecting and damping oscillations at an early stage can prevent them from amplifying and ultimately stabilize the system. Furthermore, detecting and damping oscillations can improve system performance and increase the lifetime of the components involved, as well as improve overall system reliability and safety. Therefore, it is crucial to prioritize the detection and damping of oscillations as part of system design and maintenance. This paper anal-yses different methods for power oscillation detection in the electric grid. The scope of the paper is to compare and identify the most suitable power oscillation detection method for field applications, with the main objective of detecting interarea oscillations. The comparison concerns the Matrix Pencil Method, Prony Analysis, and the Fast Fourier Trans-form (FFT). The performance of the three methods is tested when detecting interarea oscillations in a simulated signal in an electric system to evaluate their sensitivity, time response and accuracy against this phenomenon by comparing the results with the DIgSILENT PowerFactory (DSPF) eigenvalue tool. The expected outcomes of the study include identi-fying the most suitable method for practical power system applications and providing recommendations for implementing power oscillation detection techniques in the field. 000151244 540__ $$9info:eu-repo/semantics/closedAccess 000151244 700__ $$aComech, María Paz $$b 000151244 700__ $$aGalan-Hernandez, Noemi $$b 000151244 773__ $$tNEIS 2023. Conference on Sustainable Energy Supply and Energy Storage Systems 000151244 8560_ $$fagroca@unizar.es 000151244 8564_ $$s426254$$uhttps://zaguan.unizar.es/record/151244/files/BOOK-2025-314.pdf$$ySin acceso$$zSin acceso 000151244 909CO $$ooai:zaguan.unizar.es:151244$$pbooks 000151244 980__ $$aBOOK$$bCAPITULOS$$b