Isostable-Based Nonlinear Model Reduction for Power System Oscillations
Abstract
Power systems are often represented by high-dimensional dynamic models, making nonlinear control design computationally expensive and limiting its practical application. Oscillation analysis and damping control therefore commonly rely on linearized models, which do not capture the nonlinear oscillatory behavior induced by large disturbances. This paper proposes an isostable-based model reduction method for nonlinear modal analysis of power systems. The method constructs an invariant manifold associated with a selected oscillatory mode and uses isostable coordinates to describe the mode with only two real state variables. The isostable formulation gives linear autonomous modal dynamics, with nonlinear state reconstruction and input response computed on the modal manifold. An optimal damping control problem is then formulated directly in the reduced coordinates. Case studies on the IEEE 39-bus system demonstrate the accuracy of the proposed model in describing nonlinear oscillations and show improved damping compared with control designed using a linear reduced model.
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BibTeX
@misc{huang2026isostablebased,
title = {{Isostable-Based Nonlinear Model Reduction for Power System Oscillations}},
author = {Kaiyang Huang and Dan Wilson and Kai Sun},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.37506},
eprint = {2609.37506},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.37506},
}
RIS
TY - UNPB
TI - Isostable-Based Nonlinear Model Reduction for Power System Oscillations
AU - Kaiyang Huang
AU - Dan Wilson
AU - Kai Sun
PY - 2026
DA - 2026/09/27
PB - arXiv
DO - 10.48550/arxiv.2609.37506
UR - https://arxiv.org/abs/2609.37506
AB - Power systems are often represented by high-dimensional dynamic models, making nonlinear control design computationally expensive and limiting its practical application. Oscillation analysis and damping control therefore commonly rely on linearized models, which do not capture the nonlinear oscillatory behavior induced by large disturbances. This paper proposes an isostable-based model reduction method for nonlinear modal analysis of power systems. The method constructs an invariant manifold associated with a selected oscillatory mode and uses isostable coordinates to describe the mode with only two real state variables. The isostable formulation gives linear autonomous modal dynamics, with nonlinear state reconstruction and input response computed on the modal manifold. An optimal damping control problem is then formulated directly in the reduced coordinates. Case studies on the IEEE 39-bus system demonstrate the accuracy of the proposed model in describing nonlinear oscillations and show improved damping compared with control designed using a linear reduced model.
ER -