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Prof. Dr. Sonia Leva

Department of Energy,
Politecnico di Milano
20133 Milano, Italy

Sonia Leva is Full Professor in “Elettrotecnica” (Electrical Engineering-Circuit Theory) in Politecnico di Milano (Italy). She received the M.Sc. degree and the Ph.D. degree both in Electrical Engineering, from the Faculty of Engineering, Politecnico di Milano, Italy. Starting from 1999, she has been teaching at Electrical, Mechanical and Energetic Engineering students at Politecnico di Milano assigned. In 2010 and 2012 she has been Visiting Professor at Tongji University, Shanghai (China) where she taught “Circuit Theory” and “Electrical Machines”.

Sonia Leva is Editor in Chief of Forecasting Journal and she is in the Editorial Board of some international Journals.

The activity of scientific research of Sonia Leva regards mainly the following topics:

  • renewable energy sources (PV and wind) modelling and analysis
  • PV power output forecasting (from 1 minute to 72 hours ahead);
  • microgrid design and optimization whir particular attention to storage systems;

She is project manager of some research groups with Politecnico di Milano and Private or Public Companies.

She is coordinator of a research group in the field of photovoltaic systems and microgrids, including PhD students and post-graduated grant holders, and also Director of the Solar Tech Laboratory (SolarTechLAB –  www.solartech.polimi.it) and the Laboratory of MicroGrids (MG2 LAB – www.MG2lab.polimi.it) in Politecnico di Milano.

She is a Senior Member of the IEEE Power and Energy Society and a member of the IEEE Working Group Distributed Resources Modeling and Analysis and co-author of more then 200 papers published on international journals and conferences.

Personal Website

Title: Energy Systems and Intelligent Communication, Control and Devices


Climate changes and CO2 emission ask for an increase of production of energy by using renewable energy sources. They seem competitive from economic point of view but, mainly wind and solar, but are diluted, intermittent and not controllable. Furthermore, High renewable penetration poses issues in grid management as there can be relevant fluctuations due to steep generation variation

Interesting and very up-to-date applications are represented by microgrids and virtual power plant (VPP). The control and optimization of microgrid and VPP are open issues that asks a lot of work: in modelling, analysis, design of both devices and systems. Also, intelligent communication, signal processing techniques, algorithm and testing sites are very important to increase the penetration of renewable energy sources and reduce the fuel consumption and consequently greenhouse gas emission.

Cooperation among different group of researchers and synergy with industry can help to overcome the challenges that climate change imposes on energy sector and research.