Geometric optimal control for the second-order synchronous-machine model
DOI:
https://doi.org/10.19139/soic-2310-5070-4775Keywords:
Wind energy generator, Photovoltaic energy generator, Permanent Magnet Synchronous Generator (PMSG), Maximum Power Point Tracking (MPPT), DC-DC Boost Converter, swing up and stabilization, Stability, Control, boundary value problemsAbstract
This paper studies the transient regulation problem for the classical second-order synchronous-machine infinite-bus model from the viewpoint of geometric optimal control. The swing dynamics are formulated as a nonlinear affine-in-control system on a cylindrical state space, where the rotor-angle dynamics and the speed deviation are coupled through a sinusoidal electrical power relation. After recalling the local linearization around a synchronous operating point, the discussion is connected with the classical equal-area criterion in order to interpret first-swing stability in geometric terms. The control problem is then reformulated on the cotangent bundle by means of Pontryagin's Maximum Principle, leading to a canonical Hamiltonian system whose extremals determine the optimal mechanical-power and damping-type control actions. A fault scenario is incorporated through a piecewise variation of the transferable power, and the resulting two-point boundary value problem is solved numerically by a collocation-based method. The simulations provide the power--angle curves, optimal control profiles, state responses, and phase portraits, showing how the Hamiltonian extremal steers the machine from a pre-fault operating regime toward a desired post-fault synchronous state while penalizing control effort and state deviations. In this way, the paper connects classical transient-stability concepts with a geometric optimal-control framework for the regulated swing equation.Downloads
Published
2026-10-21
How to Cite
Villa, G., Camelo, A. F., & Ramírez , C. A. (2026). Geometric optimal control for the second-order synchronous-machine model. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-4775
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Copyright (c) 2026 Guillermo Villa, Andrés Felipe Camelo, Carlos Alberto Ramírez

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