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How to trade electricity flexibility using artificial intelligence – an integrated algorithmic framework

  • In 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.

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Metadaten
Author:Lisa Hanny, Marc-Fabian Körner, Christina Leinauer, Anne Michaelis, Jens Strüker, Martin Weibelzahl, Jan Weissflog
URN:urn:nbn:de:bvb:384-opus4-1162711
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/116271
URL:https://aisel.aisnet.org/hicss-55/es/resilient_networks/4/
URL:http://hdl.handle.net/10125/79773
ISBN:978-0-9981331-5-7OPAC
Parent Title (English):55th Hawaii International Conference on System Sciences, HICSS 2022, Virtual Event, Maui, Hawaii, USA, January 4-7, 2022
Publisher:University of Hawaiʻi at Mānoa
Place of publication:Honolulu, HI
Editor:Bui Tung
Type:Conference Proceeding
Language:English
Date of Publication (online):2024/10/30
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2024/10/31
First Page:3589
Last Page:3598
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Wirtschaftsinformatik, Informations- & Finanzmanagement
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 7 - Bezahlbare und saubere Energie
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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