3 papers indexed
Matteo Tomasetto, Francesco Braghin, J. Nathan Kutz, Andrea Manzoni
Controlling dynamical systems in real-time across multiple scenarios is critical to enabling adaptive control strategies, ensuring stability and efficiency. However, to tailor control actions in response to varying scenarios, traditional optimal control problems typically require…
Andrea Pomarico, Yuxuan Bao, Liyao Mars Gao, Salvatore Tessitore, Giorgio Maria Giannuzzi, Alberto Berizzi, et al.
Monitoring electromechanical oscillations is crucial for maintaining the stability of modern power systems, particularly in the presence of increasing penetrations of inverter-based resources (IBRs), which introduce new dynamic behaviors. In this work, we propose a hierarchical m…
Andrea Pomarico, Alberto Berizzi, J. Nathan Kutz
Dynamic State Estimation (DSE) will play a fundamental role in future power system operation by providing real-time estimates of the system state and enabling enhanced situational awareness. Existing DSE approaches are primarily based on Kalman filter variants or Machine Learning…