Distribution-level phasor measurement units (D-PMU) data are prone to different types of
anomalies given complex data flow and processing infrastructure in an active power …

Poincaré's geometric representation, while historically fundamental in dynamical system
analysis, faces challenges with high-dimensional and uncertain systems in modern …

In this paper, we propose a novel methodology based on Koopman mode analysis to predict
the transient stability of a power system in real-time. The method assesses the stability of the …

In this work, a data-driven model predictive control (MPC) approach for the current control of
synchronous machines is presented. The model of the motor is represented via a long-short …

This paper proposes a data-centric model predictive control (MPC) for supplemental control
of a DFIG-based wind farm (WF) to improve power system stability. The proposed method is …

The integration of high-resolution data from phasor measurement units (PMUs) in the power
grid operation provides an opportunity for enhanced situational awareness and possible …

Distribution-level phasor measurement units (D-PMU) data are prone to different types of
anomalies given complex data flow and processing infrastructure in an active power …

The electric power grid is undergoing a tremendous transformation due to the increasing
penetration of renewable energy resources beginning with wind and more recently with the …

Traditional generators have been decommissioned or replaced by renewable energy
generation due to utility long-standing goals. However, instead of flattening the entire plant …

The electric power system is designed to economically and reliably transmit electricity to
homes, industry, and businesses. The economic impact of the electric grid was …