LAPSE:2023.20639
Published Article

LAPSE:2023.20639
Optimal Management of an Energy Community with PV and Battery-Energy-Storage Systems
March 20, 2023
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.
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.
Record ID
Keywords
aggregator, battery-storage system, energy community, energy-management strategies, prosumer, virtual power plant
Subject
Suggested Citation
Aranzabal I, Gomez-Cornejo J, López I, Zubiria A, Mazón J, Feijoo-Arostegui A, Gaztañaga H. Optimal Management of an Energy Community with PV and Battery-Energy-Storage Systems. (2023). LAPSE:2023.20639
Author Affiliations
Aranzabal I: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain [ORCID]
Gomez-Cornejo J: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
López I: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain [ORCID]
Zubiria A: CIDETEC, Basque Research and Technology Alliance (BRTA), 20018 Donostia-San Sebastián, Spain [ORCID]
Mazón J: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Feijoo-Arostegui A: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain
Gaztañaga H: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain
Gomez-Cornejo J: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
López I: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain [ORCID]
Zubiria A: CIDETEC, Basque Research and Technology Alliance (BRTA), 20018 Donostia-San Sebastián, Spain [ORCID]
Mazón J: Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
Feijoo-Arostegui A: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain
Gaztañaga H: IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain
Journal Name
Energies
Volume
16
Issue
2
First Page
789
Year
2023
Publication Date
2023-01-10
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16020789, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.20639
This Record
External Link

https://doi.org/10.3390/en16020789
Publisher Version
Download
Meta
Record Statistics
Record Views
309
Version History
[v1] (Original Submission)
Mar 20, 2023
Verified by curator on
Mar 20, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.20639
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.16 seconds)
[0.16 s]
