Optimal Management of an Energy Community with PV and Battery-Energy-Storage Systems

Itxaso Aranzabal (), Julen Gomez-Cornejo, Iraide López, Ander Zubiria, Javier Mazón (), Ane Feijoo-Arostegui and Haizea Gaztañaga
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Itxaso Aranzabal: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Julen Gomez-Cornejo: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Iraide López: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Ander Zubiria: CIDETEC, Basque Research and Technology Alliance (BRTA), 20018 Donostia-San Sebastián, Spain
Javier Mazón: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Ane Feijoo-Arostegui: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain
Haizea Gaztañaga: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain

Energies, 2023, vol. 16, issue 2, 1-23

Abstract: Most of current prosumer-energy-management approaches are focused on economic optimization by self-consumption maximization. Nevertheless, a lack of energy management strategies (EMS) that tackle different interaction possibilities among community-clustered solar plus battery prosumers has been detected. Furthermore, such active prosumer EMS may include participation in ancillary service markets such as automatic frequency restoration reserves (aFRR) through an optimized battery-energy storage-system (BESS) operation, as well as incorporating community-level energy management. In this study, an optimal EMS that includes aggregated aFRR-market participation of five solar plus battery prosumers participating in an energy community (EC), with the aim of reducing total costs of ownership for each individual prosumer is proposed. For its validation, different scenarios have been analyzed. The results show that the proposed EMS allows a levelized cost of energy (LCOE) reduction for all community members with respect to the base-case scenario. Moreover, the most profitable scenario for all prosumers is still the only PV.

Keywords: energy-management strategies; energy community; battery-storage system; prosumer; aggregator; virtual power plant (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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