报告题目：Modelling and Optimization for GreenTransition of Complex Energy Networks
报告人：Prof. Luigi Glielmo
报告人单位：University of NaplesFederico II, Italy
报告摘要：The future smart grid envisions a de-regularized operation of the modern-day power system with “actors” present at different levels in the hierarchy coordinating with each other, rather than having a centralized control mechanism. This shift owes to the inclusion of distributed generation, renewable energy resources, storage units, etc., leading to novel concepts like micro grids, nano grids, and, in particular, energy communities. On one hand, the de-regularization provides greater autonomy to the involved actors, wherein they can make decisions maximizing their arbitrage; on the other, it brings along its own challenges in terms of grid resiliency and robustness as the overall power network is physically coupled. To address the above issues, after introducing the European and Italian versions of the "energy community" concept, we utilize a bottom-up approach wherein we consider the residential households within a residential neighbourhood as the actors. Borrowing tools and techniques from optimization, game theory, and reinforcement learning, we address a range of problems such as component sizing for PV panels and storage units, and optimal scheduling of flexible resources, such as electric vehicles and storage units.
个人简历：Luigi Glielmo holds a 5-year “laurea” degree in Electronic Engineering and a research doctorate in Automatic Control, from the University of Naples Federico II. He was a “researcher” at Federico II, then an associate professor at the University of Palermo, then he returned to Federico II until 2001 when he moved to the University of Sannio (UniSannio) where he worked as a professor of Automatic Control till December 2022 when, again, he returned to Federico II. At UniSannio he has been Head of the Department of Engineering (2001-2007), Rector’s Delegate for Disabled Students (2002-2007), Rector’s Delegate for Technology Transfer (2009-2019), Coordinator of the PhD program in Information Engineering (2009-2016) and then in Information Technologies for Engineering(2013-2021). He pursued active research over the years on a variety of topics:singular perturbation methods, model predictive control methods, automotive controls, deep brain stimulation modeling and control, smart-grid control, satellite autonomy, modelling of protein transport in eukaryotic cells, and Boolean control networks. His recent interests lie on energy communities management and Lithium-Ion batteries state of health estimation, in collaboration with Italian companies. He has co-authored almost 220 papers published in international journals or international conference proceedings, holds a 39 H-Index, co-edited two books,and holds two patents. A senior member of IEEE and member of SIAM, his other leadership roles include (former) editorial board member of IEEE Control Systems Letters and IEEE Transaction on Automatic Control; co-proposer and chair of the IEEE Control Systems Society Technical Committee on Automotive Controls; vice-chair of the Conference Board of IFAC, the International Federation of Automatic Control (2023-2026); and General Co-Chair of the 2019 European Control Conference (Naples, June 2019).