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Michael A. Boateng

2 papers indexed

arxiveess.SY2026-07-02

Physics-Informed Dynamic State Estimation for Current Transformers Using Graph Neural Networks

Michael A. Boateng, Gabriel Gauderman, Nathalie Uwamahoro

Current transformers are fundamental to power system protection and measurement, yet transient core saturation can severely distort the secondary current and degrade measurement accuracy. Existing dynamic state estimation methods rely mainly on numerical discretisation and iterat…

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arxiveess.SY2026-06-27

PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch

Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, Daniel Molzahn

The DC optimal power flow is widely used in power system operations because of its computational efficiency and scalability. However, DC dispatches are not guaranteed to satisfy the nonlinear AC power-flow equations or associated operational limits. This paper develops a paramete…

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