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A Distributed Scheme for Stability Assessment in Large-Scale Structure-Preserving Models via Singular Perturbation

Authors :
Gholami, Amin
Sun, Xu Andy
Source :
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Publication Year :
2021

Abstract

Assessing small-signal stability of power systems composed of thousands of interacting generators is a computationally challenging task. To reduce the computational burden, this paper introduces a novel condition to assess and certify small-signal stability. Using this certificate, we can see the impact of network topology and system parameters (generators' damping and inertia) on the eigenvalues of the system. The proposed certificate is derived from rigorous analysis of the classical structure-preserving swing equation model and has a physically insightful interpretation related to the generators' parameters and reactive power. To develop the certificate, we use singular perturbation techniques, and in the process, we establish the relationship between the structure-preserving model and its singular perturbation counterpart. As the proposed method is fully distributed and uses only local measurements, its computational cost does not increase with the size of the system. The effectiveness of the scheme is numerically illustrated on the WSCC system.<br />Comment: https://hdl.handle.net/10125/71001

Details

Database :
arXiv
Journal :
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Publication Type :
Report
Accession number :
edsarx.2103.15333
Document Type :
Working Paper
Full Text :
https://doi.org/10.24251/HICSS.2021.386