Capturing Battery Flexibility in a General and Scalable Way Using the FlexOffer Model

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

et al. 2022

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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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Section: Preliminary Resultsmentioning

confidence: 99%

Section: Preliminary Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Uncertain flexoffers, a scalable, uncertainty-aware model for energy flexibility

Lilliu

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

et al. 2022

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“…Explicit models can generally capture more of the available flexibility. An early explicit model was the linear time-invariant (LTI) state-space model [11] which captures flexibility accurately, but where aggregation and optimization does not scale to thousands/millions of loads and/or dozens of time slices [27,53]. Conversely, FlexOffers [54], the cornerstone of the GOFLEX project, represent flexibility approximately, can scale aggregation and optimization to millions of loads and long time horizons, and still handle complex state-dependent loads like heat pumps and batteries, [27,53].…”

Section: Flexibility Models and Aggregationmentioning

confidence: 99%

Goflex

Neupane

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

et al. 2022

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A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based demand response solutions exist and have been successfully deployed and demonstrated in the real world, they are typically designed for, and are effective only at small scale and/or target specific types of loads, leading to relatively high cost-of-entry. This prohibits deploying scalable solutions.The H2020 GOFLEX project has addressed this issue and developed a scalable, general, and replicable so-called GOFLEX system, which offers a market-driven approach to solve congestion problems in distribution grids based on aggregated individual flexibilities from a wide range of prosumers, both small (incl. electric

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Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibility.

Lilliu

Proceedings of the 14th ACM International Conference on Future Energy Systems

2023