Advanced Power System Stability and Control

Catalog description

This doctoral-level course provides an advanced, research-oriented study of power system stability and control with emphasis on contemporary challenges facing modern grids. The course extends classical methods by integrating high-fidelity dynamic modeling, advanced control theory, and optimization under uncertainty to address inverter-based resources (IBRs), distributed generation, and wide-area measurement systems. Topics include nonlinear dynamics of large-scale interconnected systems, stability of power-electronic-dominated grids, stochastic stability under renewable variability, cyber-physical system resilience, advanced FACTS/HVDC integration, and predictive control strategies using AI/ML. Students will engage in research-oriented projects, applying advanced simulation platforms, real-time digital simulators, and phasor measurement units (PMUs) to analyze and solve open problems in power system stability and control.