Nasim Eslaminia

Nasim Eslaminia is a Ph.D. student in Electrical Engineering — Power Systems at the University of Pavia, Italy.

Her research focuses on the optimal operation of distribution networks and congestion management through flexibility markets, with particular emphasis on flexible resources, distributed energy resources, coordinated distribution-network operation, and simulation-based analysis using pandapower.

Her research interests include power system operation and planning, smart grids, renewable energy systems, microgrids, demand response, energy management, congestion management, optimization, electricity markets, flexibility markets, and ancillary services markets. Her recent work focuses on industrial load flexibility for electricity market participation under system, photovoltaic generation, storage, and uncertainty constraints, using mathematical optimization tools such as Python, Pyomo, and CPLEX.

She received her M.Sc. degree in Electrical Engineering — Power Systems from Ferdowsi University of Mashhad, Iran, where her research focused on energy management of load-serving entities using incentive-based demand response programs. She received her B.Sc. degree in Electrical Engineering — Power from Shahid Bahonar University of Kerman, Iran, and ranked third in her master’s program.

Before joining the University of Pavia, Nasim worked on research topics related to demand response, peak shaving, electricity market participation, network reconfiguration, false data injection attacks, and power system flexibility. She also gained professional experience in high-voltage substation protection and control systems, grid connection studies, photovoltaic feasibility analysis, and electrical design. Her technical background includes Python, pandapower, Pyomo, CPLEX, GAMS, MATLAB, AutoCAD Electrical, DIgSILENT PowerFactory, DIALux, Altium Designer, Proteus, and MPLAB C18.