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Assessing the impacts of energy sharing on low voltage distribution networks: Insights into electrification and electricity pricing in Germany

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  • Lersch, Jonathan
  • Tang, Rui
  • Weibelzahl, Martin
  • Weissflog, Jan
  • Wu, Ziyan

Abstract

The shift towards renewable energy sources, which is especially significant in the residential sector, relies on distributed energy resources (DER) like PV systems, heat pumps, battery storage systems, and electric vehicles. Integrating DERs into low-voltage distribution networks presents challenges, including potential grid instabilities. Energy sharing is a consumer-centric market approach, allowing consumers and prosumers to establish renewable energy communities (RECs) and share energy generated via DERs. Existing literature concerning energy sharing often prioritizes highlighting the benefits it offers to participants, rather than examining its direct impacts on established system boundaries such as distribution grid infrastructure. To this end, we employ a sequential modeling approach to study the integration of energy sharing schemes facilitated by RECs and their impacts on grid performance metrics, such as component loading, voltage magnitudes, and grid reinforcement costs. We examine twelve scenarios reflecting different REC configurations, DER adoption levels, and pricing strategies for both current (2023) and future (2037) contexts in Germany. Our findings indicate that implementing energy sharing not only results in considerable cost savings at the community level (with potential savings of up to 80% compared to scenarios without energy sharing) but also brings about significant reductions in grid asset loading (with decreases in transformer loading of up to 68% and line loading of up to 62%, compared to baseline scenarios). Conversely, we show that energy sharing can significantly influence voltage magnitudes at various nodes within the grid, potentially leading to substantial increases in grid reinforcement costs in future scenarios (i.e., 2037). Our research provides valuable insights for REC participants, regulators, and DSOs to understand the impacts of energy sharing on European low-voltage distribution networks and explore mitigation options, such as grid reinforcement measures.

Suggested Citation

  • Lersch, Jonathan & Tang, Rui & Weibelzahl, Martin & Weissflog, Jan & Wu, Ziyan, 2025. "Assessing the impacts of energy sharing on low voltage distribution networks: Insights into electrification and electricity pricing in Germany," Applied Energy, Elsevier, vol. 378(PA).
  • Handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924021263
    DOI: 10.1016/j.apenergy.2024.124743
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    References listed on IDEAS

    as
    1. Inês F. G. Reis & Ivo Gonçalves & Marta A. R. Lopes & Carlos Henggeler Antunes, 2021. "Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach," Energies, MDPI, vol. 14(4), pages 1-32, February.
    2. Dudjak, Viktorija & Neves, Diana & Alskaif, Tarek & Khadem, Shafi & Pena-Bello, Alejandro & Saggese, Pietro & Bowler, Benjamin & Andoni, Merlinda & Bertolini, Marina & Zhou, Yue & Lormeteau, Blanche &, 2021. "Impact of local energy markets integration in power systems layer: A comprehensive review," Applied Energy, Elsevier, vol. 301(C).
    3. Gjorgievski, Vladimir Z. & Velkovski, Bodan & Francesco Demetrio, Minuto & Cundeva, Snezana & Markovska, Natasa, 2023. "Energy sharing in European renewable energy communities: Impact of regulated charges," Energy, Elsevier, vol. 281(C).
    4. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    5. Guo, Rui & Meunier, Simon & Protopapadaki, Christina & Saelens, Dirk, 2023. "A review of European low-voltage distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    6. Candas, Soner & Reveron Baecker, Beneharo & Mohapatra, Anurag & Hamacher, Thomas, 2023. "Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination," Applied Energy, Elsevier, vol. 343(C).
    7. Hussain, Sadam & Azim, M. Imran & Lai, Chunyan & Eicker, Ursula, 2023. "New coordination framework for smart home peer-to-peer trading to reduce impact on distribution transformer," Energy, Elsevier, vol. 284(C).
    8. Zheng Liu & Maryam Majidi & Haonan Wang & Denis Mende & Martin Braun, 2023. "Time Series Optimization-Based Characteristic Curve Calculation for Local Reactive Power Control Using Pandapower - PowerModels Interface," Energies, MDPI, vol. 16(11), pages 1-24, May.
    9. Dynge, Marthe Fogstad & Crespo del Granado, Pedro & Hashemipour, Naser & Korpås, Magnus, 2021. "Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations," Applied Energy, Elsevier, vol. 301(C).
    10. Sarker, Eity & Seyedmahmoudian, Mehdi & Jamei, Elmira & Horan, Ben & Stojcevski, Alex, 2020. "Optimal management of home loads with renewable energy integration and demand response strategy," Energy, Elsevier, vol. 210(C).
    11. Dorian Frieden & Andreas Tuerk & Ana Rita Antunes & Vasilakis Athanasios & Alexandros-Georgios Chronis & Stanislas d’Herbemont & Mislav Kirac & Rita Marouço & Camilla Neumann & Esteban Pastor Catalayu, 2021. "Are We on the Right Track? Collective Self-Consumption and Energy Communities in the European Union," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    12. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2020. "Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers," Applied Energy, Elsevier, vol. 263(C).
    13. Freitas, Sara & Santos, Teresa & Brito, Miguel C., 2018. "Impact of large scale PV deployment in the sizing of urban distribution transformers," Renewable Energy, Elsevier, vol. 119(C), pages 767-776.
    14. Madler, Jochen & Harding, Sebastian & Weibelzahl, Martin, 2023. "A multi-agent model of urban microgrids: Assessing the effects of energy-market shocks using real-world data," Applied Energy, Elsevier, vol. 343(C).
    15. Johan Rockström & Joyeeta Gupta & Dahe Qin & Steven J. Lade & Jesse F. Abrams & Lauren S. Andersen & David I. Armstrong McKay & Xuemei Bai & Govindasamy Bala & Stuart E. Bunn & Daniel Ciobanu & Fabric, 2023. "Safe and just Earth system boundaries," Nature, Nature, vol. 619(7968), pages 102-111, July.
    16. Almasalma, Hamada & Claeys, Sander & Deconinck, Geert, 2019. "Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters," Applied Energy, Elsevier, vol. 239(C), pages 1037-1048.
    17. Rafi, Fida Hasan Md & Hossain, M.J. & Rahman, Md Shamiur & Taghizadeh, Seyedfoad, 2020. "An overview of unbalance compensation techniques using power electronic converters for active distribution systems with renewable generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    18. Wang, Jianxiao & Zhong, Haiwang & Wu, Chenye & Du, Ershun & Xia, Qing & Kang, Chongqing, 2019. "Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    19. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    20. Long, Chao & Wu, Jianzhong & Zhou, Yue & Jenkins, Nick, 2018. "Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 261-276.
    21. Karimi, M. & Mokhlis, H. & Naidu, K. & Uddin, S. & Bakar, A.H.A., 2016. "Photovoltaic penetration issues and impacts in distribution network – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 594-605.
    22. Kabir, M.N. & Mishra, Y. & Ledwich, G. & Xu, Z. & Bansal, R.C., 2014. "Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems," Applied Energy, Elsevier, vol. 134(C), pages 290-300.
    23. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    24. Morsy Nour & José Pablo Chaves-Ávila & Gaber Magdy & Álvaro Sánchez-Miralles, 2020. "Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems," Energies, MDPI, vol. 13(18), pages 1-34, September.
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