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Session S-13: Special Session - Stochastic Systems and Control with Emerging Applications
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Session S-16: Discrete Event Systems
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Session S-43: Combinatorial and Applied Optimization
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Session S-46: Special Session: Artificial Intelligence trends for healthcare optimization: Metaheuristics, Machine learning and IOT
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Session V-20: Intelligent Control
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Session S-49: Monitoring and Supervision
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Session S-09: Graphs and Networks
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Session V-10: Fault Detection
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Session S-02: Control Applications
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Session S-30: Optimal Control
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Decision and control for smart energy communities
Prof. Mariagrazia Dotoli (IEEE Fellow)
Politecnico di Bari, Italy
Chair: Prof. Bozenna Pasik-Duncan, University of Kansas, USA Room: Aula Magna
Abstract
A powerful solution contributing to the green transformation of modern power systems is represented by the so-called energy community. The term ‘energy community’ denotes a community of users (private, public, or mixed) located in a specific reference area, where all stakeholders – such as end- users (e.g., citizens, companies, etc.), market players (e.g., utilities, service providers), practitioners, planners and policy-makers – actively cooperate to develop a ‘smart’ energy system. Independently from the implemented architecture, the success of energy communities relies on the deployment of suitable decision and control mechanisms that efficiently and widespreadly exploit renewable sources and distributed storage, while enabling the application of measures oriented to cost-effectiveness, sustainability, and reliability. In this context, the talk presents innovative decision and control frameworks, such as game-theoretic methodologies, for energy communities composed of heterogenous actors equipped with trading and sharing service oriented energy systems. The effectiveness of the presented approaches is shown through numerical simulations on realistic scenarios.
Biography of Prof. Mariagrazia Dotoli
Dr. Mariagrazia Dotoli (http://dclab.poliba.it/people/mariagrazia-dotoli/) holds a PhD in
Electrical Engineering and is a Full Professor in Automatic Control at
Politecnico di Bari, Italy, where she is also the Founder and Coordinator of
the Italian National PhD Program on Autonomous Systems (DAUSY, http://dausy.poliba.it/phd/), an interuniversity PhD Program with 25 Universities all over Italy. Prof. Dotoli
was the Vice Rector for research of Politecnico di Bari and a member elect of
the Academic Senate.
She is the founder and director (2012-) of the Decision and Control Laboratory of Politecnico di Bari, Italy http://dclab.poliba.it/ and was the founder and coordinator (2020-2022) of PhD Program on Industry 4.0, Politecnico di Bari,
Italy http://phdindustria40.poliba.it/ind/. She is the founder (2012) of Politecnico di Bari spin-off company Innolab S.r.l. (https://www.innolabsrl.it/) She is member of the Executive Board of the Italian MEDITECH competence center for Industry 4.0 https://meditech4.com/ funded by the Italian Ministry for Economic Development.
Her research interests include decision and control approaches for energy systems, smart manufacturing, intelligent logistics, transportation systems and smart cities. She is author of 200+ international publications in these fields, including 1 textbook (in Italian) and 80+ international journal papers. Her h-index in Google Scholar equals 45, with 7000+ citations.
Prof. Dotoli is listed in the world top 2% scientists list for career-long impact and single-year categories in the “Industrial Engineering & Automation” and “Artificial Intelligence & Image Processing” fields in accordance with the well-known standardized citation metrics author database developed by Ioannidis et al., 2022 and released by Stanford University and Elsevier BV.