Date of Award
8-2025
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical and Computer Engineering (Holcomb Dept. of)
Committee Chair/Advisor
Ramtin Hadidi
Committee Member
Johan Enslin
Committee Member
Kevin Tomsovic
Committee Member
Umesh Vaidya
Abstract
The increasing penetration of Inverter-Based Resources (IBRs) in power systems has significantly altered system dynamics, reducing the system's effective rotational inertia and challenging frequency stability. Accurate online inertia estimation is essential for maintaining system reliability under these evolving conditions. This paper introduces a robust methodology for online inertia estimation using ambient data collected during normal system operation. The proposed method employs a state-space model to represent system dynamics and introduces synthetic step changes to simulate disturbances. By analyzing the frequency response and applying advanced signal processing techniques, the methodology estimates system inertia without requiring real large-scale disturbances. The approach is validated on the IEEE 39-bus systems under various load profiles. A detailed sensitivity analysis highlights the impact of window length, sampling rates, and noise on estimation accuracy, emphasizing the methodology’s applicability in renewable-dominated grids.
Recommended Citation
Ghiasi, Narges, "Robust Online Inertia Estimation in Power Systems Using Ambient Data in the Presence of Inverter-Based Resources" (2025). All Dissertations. 3978.
https://open.clemson.edu/all_dissertations/3978
Author ORCID Identifier
0000-0003-3040-8034