LAPSE:2023.10907
Published Article

LAPSE:2023.10907
Operating Renewable Energy Communities to Reduce Power Peaks in the Distribution Grid: An Analysis on Grid-Friendliness, Different Shares of Participants, and Economic Benefits
February 27, 2023
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.
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.
Record ID
Keywords
demand response, distribution system operator, energy communities, energy management, flexibility management, grid-friendliness, peak reduction, prosumers, renewable energy communities
Subject
Suggested Citation
Sudhoff R, Schreck S, Thiem S, Niessen S. Operating Renewable Energy Communities to Reduce Power Peaks in the Distribution Grid: An Analysis on Grid-Friendliness, Different Shares of Participants, and Economic Benefits. (2023). LAPSE:2023.10907
Author Affiliations
Sudhoff R: 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 [ORCID]
Schreck S: 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 [ORCID]
Thiem S: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany [ORCID]
Niessen S: 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 [ORCID]
Schreck S: 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 [ORCID]
Thiem S: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany [ORCID]
Niessen S: 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 [ORCID]
Journal Name
Energies
Volume
15
Issue
15
First Page
5468
Year
2022
Publication Date
2022-07-28
ISSN
1996-1073
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Original Submission
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PII: en15155468, Publication Type: Journal Article
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LAPSE:2023.10907
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https://doi.org/10.3390/en15155468
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