Quantifying, Activating and Rewarding Flexibility in Renewable Energy Communities

Demand-side flexibility from renewable energy community members increases the benefits of local production and exchanges. To effectively harness this flexibility, end-users must be rewarded for their efforts regarding the shifted energy volumes and the associated discomfort. This work quantifies these last two quantities for three types of loads (electric vehicles, thermal loads and wet appliances). Then, a two-step model is proposed which first optimally activates the offered flexibility and then shares the benefits of this activation among the renewable energy community members through a rule-based or an optimization-based approach. Results show that the community framework can further increase the benefits brought by flexible demand.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863404
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.21
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article

Quantifying, Activating and Rewarding Flexibility in Renewable Energy Communities

Bertrand Cornélusse, François Vallée, Julien Allard, Mevludin Glavić et al.
1 citations
Smart Grid Energy Management
0.21
article

Quantifying, Activating and Rewarding Flexibility in Renewable Energy Communities

Bertrand Cornélusse, François Vallée, Julien Allard, Mevludin Glavić, Zacharie De Grève, Thomas Stegen
article en
1 citations

Abstract

Demand-side flexibility from renewable energy community members increases the benefits of local production and exchanges. To effectively harness this flexibility, end-users must be rewarded for their efforts regarding the shifted energy volumes and the associated discomfort. This work quantifies these last two quantities for three types of loads (electric vehicles, thermal loads and wet appliances). Then, a two-step model is proposed which first optimally activates the offered flexibility and then shares the benefits of this activation among the renewable energy community members through a rule-based or an optimization-based approach. Results show that the community framework can further increase the benefits brought by flexible demand.

University of Mons (BE), University of Liège (BE)
Affordable and clean energy
Openalex Percentile: Top 44%
Smart Grid Energy Management
0.21
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