Denmark
Ioannis Papadopoulos received his B.Sc. degree in Electrical Engineering from the University of Cyprus in July 2022, graduating as the Valedictorian of the Polytechnic School. He subsequently obtained his M.Sc. degree in Energy Science and Technology from ETH Zurich in August 2025, graduating with distinction. He is currently pursuing doctoral studies at the Technical University of Denmark (DTU) in the Department of Wind and Energy Systems. His research interests focus on decision support under uncertainty for the reliable operation of modern power systems.
Thesis Title: Development of a WAMS-based Voltage Instability Identification Toolbox for the Swiss Transmission System Development of a dynamic model of the Swiss synchronous area, integrating grid snapshots and detailed synchronous machine parameters for large-scale dynamic simulations. Implementation and validation of PMU-based identification methods for both short- and long-term voltage instability. Extensive testing of identification and mitigation schemes on benchmark systems (IEEE 39-bus, Nordic) and the developed Swiss dynamic model. Validation of methods using real PMU data, including the 2024 Balkan blackout case, demonstrating applicability under real-world conditions. Delivery of a concrete framework for PMU placement and WAMS-based voltage instability identification, tailored to the Swiss transmission system.
Design and implementation of a Dynamic Stability Assessment (DSA) toolbox for voltage stability analysis, leveraging Python and PSSE. Automation of dynamic simulation workflows, including contingency analysis, voltage stability index computation, and result visualization. Execution of sensitivity analyses to assess the impact of generator parameters, system topology, and control systems, such as exciters and power system stabilizers, on voltage stability. Risk assessment framework creation to compare the effects of transformer and line contingencies on steady-state voltage deviations.
Development of post-analysis processes with a focus on identifying trends in dispatched manual Frequency Restoration Reserves (mFRR) and redispatch power. Creation of reporting tools using FME, SQL, and Tableau, targeting the assessment of Remote Terminal Units (RTUs) at interconnection points with other Transmission System Operators (TSOs). Comprehensive vulnerability analysis of IT infrastructure related to the Available Transfer Capacity (ATC) information flow. Creation of training material to streamline the onboarding process for system operators by documenting fundamental processes carried out by the Balancing and Scheduling team.
Design, optimization, and operation of the monitoring and control platform used for the University of Cyprus microgrid (Tasks performed under the PV - ANALYTIC project). Contextual analysis based on historical, energy-related data (Tasks performed under the PV - ANALYTIC and ERIGrid 2.0 projects). Development of machine learning algorithms for photovoltaic power generation forecasting, via Python programming.
Identification of software, hardware, and user requirements for the development of a cloud-based platform for microgrid monitoring and control, via cutting-edge smart grid technologies.
Design and development of an experimental setup for examining the behavior of photovoltaic systems and serving educational purposes.
Examination and analysis of the impact of solar storms on Earth, such as corrosion and degradation on the electric power transmission network, via MATLAB programming.