Trager Joswing-Jones, Baosen Zhang
As inverter-based resources (IBRs) contribute larger shares of generation in electrical power grids, quantifying system strength becomes increasingly important for identifying stability issues introduced by these devices. While admittance model-based system strength metrics have been proposed to identify control interactions in systems with high levels of IBRs, these methods depend on repeated evaluations across many operating points to understand how the state of the system impacts system strength. To address this challenge, we consider the sensitivity of system stability to perturbations in the steady-state operating point and propose system strength metrics based on sensitivities to power injections, voltages, and line admittances. Using these sensitivities, we can identify changes in the system’s state (e.g., a line tripping off or a generator increasing his power output) that trigger instability mechanisms. We show that these metrics provide critical insights into system stability and can be computed much faster than repeated eigenvalue calculations. We demonstrate our approach on 14-bus and 118-bus test systems to show how the metrics can be used to find remedial actions for small-signal stability issues.
@article{699cf686-3bbe-47e5-a25e-76c8870f000e,
title={Sensitivity-Based System Strength Assessment: Mapping Power Flow and Network Topology Perturbations to System Eigenvalues},
author={Trager Joswing-Jones and Baosen Zhang},
year={2023},
language={en}
}TY - JOUR TI - Sensitivity-Based System Strength Assessment: Mapping Power Flow and Network Topology Perturbations to System Eigenvalues AU - Trager Joswing-Jones AU - Baosen Zhang PY - 2023 LA - en ER -
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