Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibility

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Abstract

As the usage of Renewable Energy Sources (RES) in electricity grids increases in popularity, energy flexibility has a crucial role. The most common weaknesses of current flexibility models are: i) being hard-coded for specific devices, ii) not scaling for long time horizons and many devices, iii) losing a lot of flexibility if the model is approximated, and iv) not considering the uncertainty affecting flexibility representations, which causes the model to capture too much excess flexibility when imbalance penalties are high. The FlexOffer (FO) model can perform approximations of flexibility with good accuracy across different devices, and scales well to long time horizons and many devices: this work extends FOs to uncertain FOs (UFOs), which keep the good properties while capturing uncertainty. We show that UFOs are very fast by performing optimization in under 5.27 seconds for a 24 hours time horizon, while exact models use more than 29.05 hours for even a 6 hours 15 minutes time horizon, making them totally infeasible in practice. UFOs can capture more flexibility than other uncertain models: UFOs considering energy dependencies can model flexibility without losses for a charging battery, and retain of the total flexibility for batteries and for EVs when imbalance penalties are high, compared to and respectively for other models. UFOs allow to aggregate up to 6000 loads for up to 96 time units while retaining of the total flexibility: exact models fail already for 330 loads or 21 time units.

Original languageEnglish
Title of host publicatione-Energy 2023 - Proceedings of the 2023 14th ACM International Conference on Future Energy Systems
Number of pages12
PublisherAssociation for Computing Machinery
Publication date20 Jun 2023
Pages30-41
ISBN (Electronic)979-8-4007-0032-3
DOIs
Publication statusPublished - 20 Jun 2023
Event14th ACM International Conference on Future Energy Systems, e-Energy 2023 - Orlando, United States
Duration: 20 Jun 202323 Jun 2023

Conference

Conference14th ACM International Conference on Future Energy Systems, e-Energy 2023
Country/TerritoryUnited States
CityOrlando
Period20/06/202323/06/2023
SponsorACM SIGEnergy
Seriese-Energy 2023 - Proceedings of the 2023 14th ACM International Conference on Future Energy Systems

Bibliographical note

Funding Information:
This work was supported by the DomOS and FEVER projects, funded under the Horizon 2020 programme, GAs 864537 and 894240 respectively, and Flexible Energy Denmark, funded by Innovation Fund Denmark (Case No. 8090-00069B). We thank Hamdi Ben Hamadou for proofreading.

Publisher Copyright:
© 2023 Owner/Author.

Keywords

  • battery
  • energy flexibility
  • EV
  • uncertainty

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