Synchrophasor Estimation in Power Grids

This lecture by Prof. Mario Paolone discusses the importance of synchrophasor estimation in power grids, focusing on the challenges faced during the event of a blackout and the benefits of wide-area technology. The lecture covers the evolution of power systems infrastructure, the definition of Phasor Measurement Units (PMUs), motivations for introducing synchrophasor technology, and the accuracy requirements for distribution systems. It also delves into synchrophasor estimation algorithms, such as DFT-based methods, and the application of Weighted Least Squares (WLS) and Kalman Filter for real-time situational awareness. The lecture concludes with a discussion on fault location and system restoration using synchrophasor-based Real-Time State Estimation (RTSE) and the validation of these methods through a real-time simulator.