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Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage

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  • Weckesser, Tilman
  • Dominković, Dominik Franjo
  • Blomgren, Emma M.V.
  • Schledorn, Amos
  • Madsen, Henrik

Abstract

In this paper, an extensive study of Renewable Energy Communities and their potential impact on the electric distribution grid has been carried out. For that purpose, a Linear Programming optimization model sizing the energy community’s Photo-Voltaic and Battery Energy Storage System was developed. The linear programming model was soft coupled with power flow analysis to investigate the impact of different energy community configurations on distribution grids. Different distribution grids (city, suburban, village), different energy community configuration, different operating strategies and different battery placements were investigated. The results showed that when the battery is located at the beginning of the feeder, then the energy community does not impact the observed minimum and maximum voltage. Moreover, it was found that depending on the energy community’s operating strategy the low-voltage grid loading can be reduced by up to 58 %. The energy community’s sizing showed that optimal capacities of photo-voltaics and communal batteries were up to three times larger for the case of city grid, following the operating strategy of maximizing the energy community’s own economic benefit than in other operating strategies and grid types.

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  • Weckesser, Tilman & Dominković, Dominik Franjo & Blomgren, Emma M.V. & Schledorn, Amos & Madsen, Henrik, 2021. "Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage," Applied Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:appene:v:301:y:2021:i:c:s0306261921008059
    DOI: 10.1016/j.apenergy.2021.117408
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    6. Berg, Kjersti & Hernandez-Matheus, Alejandro & Aragüés-Peñalba, Mònica & Bullich-Massagué, Eduard & Farahmand, Hossein, 2024. "Load configuration impact on energy community and distribution grid: Quantifying costs, emissions and grid exchange," Applied Energy, Elsevier, vol. 363(C).
    7. Cerna, Fernando V. & Pourakbari-Kasmaei, Mahdi & Barros, Raone G. & Naderi, Ehsan & Lehtonen, Matti & Contreras, Javier, 2023. "Optimal operating scheme of neighborhood energy storage communities to improve power grid performance in smart cities," Applied Energy, Elsevier, vol. 331(C).
    8. Lazzari, Florencia & Mor, Gerard & Cipriano, Jordi & Solsona, Francesc & Chemisana, Daniel & Guericke, Daniela, 2023. "Optimizing planning and operation of renewable energy communities with genetic algorithms," Applied Energy, Elsevier, vol. 338(C).
    9. Matteo Fresia & Tommaso Robbiano & Martina Caliano & Federico Delfino & Stefano Bracco, 2024. "Optimal Operation of an Industrial Microgrid within a Renewable Energy Community: A Case Study of a Greentech Company," Energies, MDPI, vol. 17(14), pages 1-29, July.
    10. Shoaib Ahmed & Amjad Ali & Antonio D’Angola, 2024. "A Review of Renewable Energy Communities: Concepts, Scope, Progress, Challenges, and Recommendations," Sustainability, MDPI, vol. 16(5), pages 1-34, February.
    11. Gutierrez-Garcia, Francisco & Arcos-Vargas, Angel & Gomez-Exposito, Antonio, 2022. "Robustness of electricity systems with nearly 100% share of renewables: A worst-case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    12. João Faria & Carlos Marques & José Pombo & Sílvio Mariano & Maria do Rosário Calado, 2023. "Optimal Sizing of Renewable Energy Communities: A Multiple Swarms Multi-Objective Particle Swarm Optimization Approach," Energies, MDPI, vol. 16(21), pages 1-33, October.
    13. Yuan, Meng & Sorknæs, Peter & Lund, Henrik & Liang, Yongtu, 2022. "The bidding strategies of large-scale battery storage in 100% renewable smart energy systems," Applied Energy, Elsevier, vol. 326(C).
    14. Davide Strepparava & Federico Rosato & Lorenzo Nespoli & Vasco Medici, 2022. "Privacy and Auditability in the Local Energy Market of an Energy Community with Homomorphic Encryption," Energies, MDPI, vol. 15(15), pages 1-14, July.
    15. Felice, Alex & Rakocevic, Lucija & Peeters, Leen & Messagie, Maarten & Coosemans, Thierry & Ramirez Camargo, Luis, 2022. "Renewable energy communities: Do they have a business case in Flanders?," Applied Energy, Elsevier, vol. 322(C).
    16. Simoiu, Mircea Stefan & Fagarasan, Ioana & Ploix, Stéphane & Calofir, Vasile, 2022. "Modeling the energy community members’ willingness to change their behaviour with multi-agent systems: A stochastic approach," Renewable Energy, Elsevier, vol. 194(C), pages 1233-1246.
    17. Luisa Losada-Puente & José Antonio Blanco & Adina Dumitru & Ioannis Sebos & Aggelos Tsakanikas & Ioanna Liosi & Stelios Psomas & Mariangela Merrone & Diego Quiñoy & Eduardo Rodríguez, 2023. "Cross-Case Analysis of the Energy Communities in Spain, Italy, and Greece: Progress, Barriers, and the Road Ahead," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    18. Schledorn, Amos & Junker, Rune Grønborg & Guericke, Daniela & Madsen, Henrik & Dominković, Dominik Franjo, 2022. "Frigg: Soft-linking energy system and demand response models," Applied Energy, Elsevier, vol. 317(C).
    19. Robin Sudhoff & Sebastian Schreck & Sebastian Thiem & Stefan Niessen, 2022. "Operating Renewable Energy Communities to Reduce Power Peaks in the Distribution Grid: An Analysis on Grid-Friendliness, Different Shares of Participants, and Economic Benefits," Energies, MDPI, vol. 15(15), pages 1-18, July.
    20. Rabea Jamil Mahfoud & Nizar Faisal Alkayem & Emmanuel Fernandez-Rodriguez & Yuan Zheng & Yonghui Sun & Shida Zhang & Yuquan Zhang, 2024. "Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks," Mathematics, MDPI, vol. 12(2), pages 1-33, January.

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