Onur Alican, Dionysios Moutevelis
The integration of Inverter-Based Resources (IBRs) into power systems introduces multi-timescale dynamics and oscillations that may propagate to distant areas, presenting significant challenges for system operation. This paper aims to develop analytical tools for identifying the sensitivity of power systems to oscillations across a broad frequency spectrum, affecting voltage and frequency variables at various network locations. A frequency-domain framework based on linear analysis is introduced to characterize the sensitivity of each network bus voltage and generation unit frequency to oscillations. Two quantitative indicators, the Frequency Sensitivity Index (FSI) and Voltage Sensitivity Index (VSI), are derived from transfer functions relating active and reactive power injections to voltage and frequency variables across the network. The methodology is applied to a modified IEEE 68-bus benchmark system under varying levels of IBR penetration, with the accuracy of the proposed indices validated through EMT time-domain simulations conducted in the Matlab/Simulink environment. The results provide valuable insights for oscillation detection and propagation analysis in modern power systems.
@article{e91e29ad-306c-48c4-8233-3a0ca660fc72,
title={2026 Alican Power Voltage Frequency Oscillation Propagation},
author={Onur Alican and Dionysios Moutevelis},
year={2026},
language={en}
}TY - JOUR TI - 2026 Alican Power Voltage Frequency Oscillation Propagation AU - Onur Alican AU - Dionysios Moutevelis PY - 2026 LA - en ER -
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