How to trade electricity flexibility using artificial intelligence - An integrated algorithmic framework

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dc.contributor.authorHanny, Lisa
dc.contributor.authorKörner, Marc-Fabian
dc.contributor.authorLeinauer, Christina
dc.contributor.authorMichaelis, Anne
dc.contributor.authorStrueker, Jens
dc.contributor.authorWeibelzahl, Martin
dc.contributor.authorWeissflog, Jan
dc.date.accessioned2021-12-24T17:50:54Z
dc.date.available2021-12-24T17:50:54Z
dc.date.issued2022-01-04
dc.description.abstractIn course of the energy transition, the growing share of Renewable Energy Sources (RES) makes electricity generation more decentralized and intermittent. This increases the relevance of exploiting flexibility potentials that help balancing intermittent RES supply and demand and, thus, contribute to overall system resilience. Digital technologies, in the form of automated trading algorithms, may considerably contribute to flexibility exploitation, as they enable faster and more accurate market interactions. In this paper, we develop an integrated algorithmic framework that finds an optimal trading strategy for flexibility on multiple markets. Hence, our work supports the trading of flexibility in a multi-market environment that results in enhanced market integration and harmonization of economically traded and physically delivered electricity, which finally promotes resilience in highly complex electricity systems.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.438
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79773
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectResilient Networks
dc.subjectartificial intelligence
dc.subjectelectricity
dc.subjectflexibility
dc.subjectresilience
dc.subjecttrading
dc.titleHow to trade electricity flexibility using artificial intelligence - An integrated algorithmic framework
dc.type.dcmitext

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