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Operating Renewable Energy Communities to Reduce Power Peaks in the Distribution Grid: An Analysis on Grid-Friendliness, Different Shares of Participants, and Economic Benefits

Author

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  • Robin Sudhoff

    (Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
    Department of Electrical Engineering and Computer Science, Technical University of Darmstadt, Landgraf-Georg-Str. 4, 64283 Darmstadt, Germany)

  • Sebastian Schreck

    (Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
    Department of Electrical Engineering and Computer Science, Technical University of Darmstadt, Landgraf-Georg-Str. 4, 64283 Darmstadt, Germany)

  • Sebastian Thiem

    (Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany)

  • Stefan Niessen

    (Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
    Department of Electrical Engineering and Computer Science, Technical University of Darmstadt, Landgraf-Georg-Str. 4, 64283 Darmstadt, Germany)

Abstract

Improving the control of flexible assets in distribution grids, e.g., battery storages, electric vehicle charging points, and heat pumps, can balance power peaks caused by high renewable power generation or load to prevent overloading the grid infrastructure. Renewable energy communities, introduced as part of the recast of the Renewable Energy Directive, provide a regulatory framework for this. As a multi-site energy management method, they can tap flexibility potential. The present work quantifies stimulus for renewable energy communities to incentivize the grid-friendly operation of flexible assets, depending on the shares of participants in rural, suburban, and urban grid topologies. Results indicate that an operation of the community, driven by maximizing the economic benefits of its members, does not clearly reduce the annual peak load at the low-voltage substation, while the operation strategy of a grid-friendly renewable energy community achieves a peak power reduction of 23–55%. When there is not full participation, forecasts of the residual load of non-participants provided by the distribution system operator can be considered in the optimization of the renewable energy community. For all simulation cases, the economic benefit between the two operation strategies differs by less than one percent, resulting in a very low additional incentive required for grid-friendliness in terms of reduced peak power. Thus, grid-friendly renewable energy communities might be a cost-effective way to defer future grid reinforcements.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5468-:d:874158
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    References listed on IDEAS

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    1. Steffen Meinecke & Džanan Sarajlić & Simon Ruben Drauz & Annika Klettke & Lars-Peter Lauven & Christian Rehtanz & Albert Moser & Martin Braun, 2020. "SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis," Energies, MDPI, vol. 13(12), pages 1-19, June.
    2. Bernd Thormann & Thomas Kienberger, 2020. "Evaluation of Grid Capacities for Integrating Future E-Mobility and Heat Pumps into Low-Voltage Grids," Energies, MDPI, vol. 13(19), pages 1-30, September.
    3. Stinner, Sebastian & Huchtemann, Kristian & Müller, Dirk, 2016. "Quantifying the operational flexibility of building energy systems with thermal energy storages," Applied Energy, Elsevier, vol. 181(C), pages 140-154.
    4. Gonzalez Venegas, Felipe & Petit, Marc & Perez, Yannick, 2021. "Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Johannes Radl & Andreas Fleischhacker & Frida Huglen Revheim & Georg Lettner & Hans Auer, 2020. "Comparison of Profitability of PV Electricity Sharing in Renewable Energy Communities in Selected European Countries," Energies, MDPI, vol. 13(19), pages 1-24, September.
    6. Luca Mendicino & Daniele Menniti & Anna Pinnarelli & Nicola Sorrentino & Pasquale Vizza & Claudio Alberti & Francesco Dura, 2021. "DSO Flexibility Market Framework for Renewable Energy Community of Nanogrids," Energies, MDPI, vol. 14(12), pages 1-19, June.
    7. 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).
    8. Yael Parag & Benjamin K. Sovacool, 2016. "Electricity market design for the prosumer era," Nature Energy, Nature, vol. 1(4), pages 1-6, April.
    9. Di Lorenzo, Gianfranco & Rotondo, Sara & Araneo, Rodolfo & Petrone, Giovanni & Martirano, Luigi, 2021. "Innovative power-sharing model for buildings and energy communities," Renewable Energy, Elsevier, vol. 172(C), pages 1087-1102.
    10. Nan, Sibo & Zhou, Ming & Li, Gengyin, 2018. "Optimal residential community demand response scheduling in smart grid," Applied Energy, Elsevier, vol. 210(C), pages 1280-1289.
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    Cited by:

    1. Berg, Kjersti & Rana, Rubi & Farahmand, Hossein, 2023. "Quantifying the benefits of shared battery in a DSO-energy community cooperation," Applied Energy, Elsevier, vol. 343(C).
    2. Giovanni Gino Zanvettor & Marco Casini & Antonio Giannitrapani & Simone Paoletti & Antonio Vicino, 2022. "Optimal Management of Energy Communities Hosting a Fleet of Electric Vehicles," Energies, MDPI, vol. 15(22), pages 1-16, November.
    3. Ludwik Wicki & Robert Pietrzykowski & Dariusz Kusz, 2022. "Factors Determining the Development of Prosumer Photovoltaic Installations in Poland," Energies, MDPI, vol. 15(16), pages 1-19, August.
    4. Alexander Micallef & Cyril Spiteri Staines & John Licari, 2022. "Renewable Energy Communities in Islands: A Maltese Case Study," Energies, MDPI, vol. 15(24), pages 1-21, December.

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