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

Fabio Lilliu; Torben Bach Pedersen; Laurynas Šikšnys; Bijay Neupane

doi:10.1145/3538637.3538876

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

Fabio Lilliu, Torben Bach Pedersen, Laurynas Šikšnys, Bijay Neupane

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

The usage of Renewable Energy Sources in electricity grids is spreading more and more, and energy flexibility has a crucial role in it. Many models for flexibility have been proposed; in particular, Flex-Offer (FO) is an approximate model with the following properties: i) it models flexibility from different device types in an unified format; ii) it is scalable with respect to optimization for long time horizons, and aggregation of many loads; iii) it captures most/all of the available flexibility. This work proposes an extension of that model, uncertain FlexOffers (UFOs), which has the same properties, plus iv) considers the uncertainty affecting flexibility over long time horizons. We show that UFOs are 5 orders of magnitude faster than exact models for optimization, can retain 88.3% of the total flexibility when imbalance penalties are high, and allow to aggregate up to 3000 loads and up to 96 time units in less than 30 minutes.

Original language	English
Title of host publication	e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems
Number of pages	2
Publisher	Association for Computing Machinery
Publication date	28 Jun 2022
Pages	448-449
ISBN (Electronic)	9781450393973
DOIs	https://doi.org/10.1145/3538637.3538876
Publication status	Published - 28 Jun 2022
Event	13th ACM International Conference on Future Energy Systems, e-Energy 2022 - Virtual, Online, United States Duration: 28 Jun 2022 → 1 Jul 2022

Conference

Conference	13th ACM International Conference on Future Energy Systems, e-Energy 2022
Country/Territory	United States
City	Virtual, Online
Period	28/06/2022 → 01/07/2022
Sponsor	ACM, ACM SIGEnergy, Akamai, Huawei Technologies Co., Ltd.

Series	e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

Bibliographical note

Funding Information:
This work was supported by the H2020 projects FEVER and DomOS, GAs 894240 and 864537 respectively.

Publisher Copyright:
© 2022 Owner/Author.

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10.1145/3538637.3538876

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Lilliu, F., Pedersen, T. B., Šikšnys, L., & Neupane, B. (2022). Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 448-449). Association for Computing Machinery. e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems https://doi.org/10.1145/3538637.3538876

Lilliu, Fabio ; Pedersen, Torben Bach ; Šikšnys, Laurynas et al. / Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility. e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, 2022. pp. 448-449 (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems).

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title = "Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility",

abstract = "The usage of Renewable Energy Sources in electricity grids is spreading more and more, and energy flexibility has a crucial role in it. Many models for flexibility have been proposed; in particular, Flex-Offer (FO) is an approximate model with the following properties: i) it models flexibility from different device types in an unified format; ii) it is scalable with respect to optimization for long time horizons, and aggregation of many loads; iii) it captures most/all of the available flexibility. This work proposes an extension of that model, uncertain FlexOffers (UFOs), which has the same properties, plus iv) considers the uncertainty affecting flexibility over long time horizons. We show that UFOs are 5 orders of magnitude faster than exact models for optimization, can retain 88.3% of the total flexibility when imbalance penalties are high, and allow to aggregate up to 3000 loads and up to 96 time units in less than 30 minutes.",

author = "Fabio Lilliu and Pedersen, {Torben Bach} and Laurynas {\v S}ik{\v s}nys and Bijay Neupane",

note = "Funding Information: This work was supported by the H2020 projects FEVER and DomOS, GAs 894240 and 864537 respectively. Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 13th ACM International Conference on Future Energy Systems, e-Energy 2022 ; Conference date: 28-06-2022 Through 01-07-2022",

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Lilliu, F , Pedersen, TB , Šikšnys, L & Neupane, B 2022, Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility. in e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems, pp. 448-449, 13th ACM International Conference on Future Energy Systems, e-Energy 2022, Virtual, Online, United States, 28/06/2022. https://doi.org/10.1145/3538637.3538876

Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility. / Lilliu, Fabio ; Pedersen, Torben Bach ; Šikšnys, Laurynas et al.

e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, 2022. p. 448-449 (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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PY - 2022/6/28

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N2 - The usage of Renewable Energy Sources in electricity grids is spreading more and more, and energy flexibility has a crucial role in it. Many models for flexibility have been proposed; in particular, Flex-Offer (FO) is an approximate model with the following properties: i) it models flexibility from different device types in an unified format; ii) it is scalable with respect to optimization for long time horizons, and aggregation of many loads; iii) it captures most/all of the available flexibility. This work proposes an extension of that model, uncertain FlexOffers (UFOs), which has the same properties, plus iv) considers the uncertainty affecting flexibility over long time horizons. We show that UFOs are 5 orders of magnitude faster than exact models for optimization, can retain 88.3% of the total flexibility when imbalance penalties are high, and allow to aggregate up to 3000 loads and up to 96 time units in less than 30 minutes.

AB - The usage of Renewable Energy Sources in electricity grids is spreading more and more, and energy flexibility has a crucial role in it. Many models for flexibility have been proposed; in particular, Flex-Offer (FO) is an approximate model with the following properties: i) it models flexibility from different device types in an unified format; ii) it is scalable with respect to optimization for long time horizons, and aggregation of many loads; iii) it captures most/all of the available flexibility. This work proposes an extension of that model, uncertain FlexOffers (UFOs), which has the same properties, plus iv) considers the uncertainty affecting flexibility over long time horizons. We show that UFOs are 5 orders of magnitude faster than exact models for optimization, can retain 88.3% of the total flexibility when imbalance penalties are high, and allow to aggregate up to 3000 loads and up to 96 time units in less than 30 minutes.

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ER -

Lilliu F , Pedersen TB , Šikšnys L , Neupane B. Poster: Uncertain FlexOffers, a scalable, uncertainty-Aware model for energy flexibility. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery. 2022. p. 448-449. (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems). doi: 10.1145/3538637.3538876

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

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