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EMT Simulation & IBR Modeling
EMT Simulation & IBR Modeling
High-fidelity electromagnetic transient (EMT) simulation of power system components under high penetration of power electronics — including detailed physics-based models of synchronous machines, grid-forming and grid-following inverters, and composite loads that conventional transient stability tools overlook.
Stability & Control in Low-Inertia Systems
Stability & Control in Low-Inertia Systems
Dynamic stability and control architectures for bulk and distribution grids as synchronous generation gives way to inverter-based resources — investigating how modern grid equipment autonomously maintains voltage and frequency when system inertia is low.
Quantum-Classical Optimization for Grid Planning
Quantum-Classical Optimization for Grid Planning
Feasibility of hybrid quantum-classical optimization frameworks that address the nonlinearities, uncertainty, and scale of modern grid planning — applied to power electronics and large-load applications such as data centers.
Beyond these core areas, the lab maintains active interests in AI/ML methods for predictive grid maintenance and fault detection, and in real-time simulation with hardware-in-the-loop testing for digital twin applications in power systems. These threads inform the core research pillars above rather than standing as separate program areas.
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