Regular biography
Panagiotis Papadopoulos is a Reader in Engineering for Net Zero at The University of Manchester, Department of Electrical Engineering. His research focuses on power systems with converter-interfaced generation, including dynamic behavior, probabilistic small-signal analysis, and grid-forming converters. He contributes to Sustainable Development Goals 7 and 13, addressing affordable and clean energy and climate action. His work includes publications in IEEE Transactions on Power Systems and Sustainable Energy, Grids and Networks (SEGAN), and conference proceedings. Papadopoulos leads projects addressing future power system dynamics and is involved in collaborative research on renewable energy integration and system stability.
Scholar-generated biography
Panagiotis Papadopoulos is an Associate Professor at the University of Manchester, specializing in power systems research. His work focuses on transient stability assessment, dynamic modeling, and the integration of renewable energy sources into power systems. He explores probabilistic frameworks for stability analysis, machine learning applications for system behavior understanding, and measurement-based techniques for dynamic performance evaluation. His research also addresses the impact of non-synchronous generators, electric vehicle charging, and reduced inertia on power system dynamics. Additionally, he investigates hybrid approaches for ringdown analysis and risk-constrained methods for transient stability assessment. His studies contribute to the development of equivalent models and the analysis of cascading failures in power systems.