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Robust Operation of Energy Communities in the Italian Incentive System
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-5276-1763
Università di Siena, Italy.
Università di Siena, Italy.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9446-8143
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2023 (English)In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we address the optimal operation of energy communities, under energy production and consumption uncertainties. In the nominal case, the operational problem is formulated as the maximization of the profit of the community over a given time horizon. Inspired by the regulation adopted in Italy since 2020, the profit includes an incentive for the self-consumption realized at the community level in each time period. In the presence of uncertainties, we use a robust formulation aiming at maximizing the worst profit achievable when energy production and consumption deviate from their nominal values. The model results in a robust scheduling policy of battery charging/discharging, guaranteeing feasible operation of the community in all scenarios of the uncertainty set. On the other hand, numerical results show that the nominal scheduling policy may suffer from a high constraint violation probability.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Keywords [en]
Energy community, profit maximization, robust optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Computer Sciences
Research subject
Computer Science; Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-99015DOI: 10.1109/ISGTEUROPE56780.2023.10408430Scopus ID: 2-s2.0-85187283866ISBN: 979-8-3503-9678-2 (electronic)ISBN: 979-8-3503-9679-9 (print)OAI: oai:DiVA.org:kau-99015DiVA, id: diva2:1846804
Conference
IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE, Grenoble, France, October 23-26, 2023.
Funder
Swedish Energy Agency, 50246-1Available from: 2024-03-25 Created: 2024-03-25 Last updated: 2024-04-05Bibliographically approved

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Nammouchi, AmalKassler, AndreasTheocharis, Andreas

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