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.

Bianchini, G., Casini, M., Gholami, M. (2025). Optimal Prosumer Storage Management in Renewable Energy Communities Under Demand Response. ENERGIES, 18(18) [10.3390/en18184904].

Optimal Prosumer Storage Management in Renewable Energy Communities Under Demand Response

Bianchini, Gianni;Casini, Marco
Funding Acquisition
;
Gholami, Milad
2025-01-01

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.
2025
Bianchini, G., Casini, M., Gholami, M. (2025). Optimal Prosumer Storage Management in Renewable Energy Communities Under Demand Response. ENERGIES, 18(18) [10.3390/en18184904].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1299539