Optimal Prosumer Storage Management in Renewable Energy Communities Under Demand Response

Gianni Bianchini, Marco Casini () and Milad Gholami
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Gianni Bianchini: Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy
Marco Casini: Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy
Milad Gholami: Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy

Energies, 2025, vol. 18, issue 18, 1-20

Abstract: This paper deals with the optimal scheduling of prosumers equipped with energy storage facilities within renewable energy communities, and proposes a novel strategy for optimizing storage usage within a price–volume demand response framework. The problem is formulated as a scalable, low-complexity mixed-integer linear program. Furthermore, a heuristic procedure is introduced to ensure redistribution of demand response rewards among participants according to their contribution to achieving demand–response goals. The proposed approach is designed to enhance the benefits for prosumers operating within a community compared to running independently.

Keywords: renewable energy communities; energy storage systems; optimization; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:18:p:4904-:d:1749994

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