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Make or buy : IT-based decision support for grid imbalance settlement in smarter electricity networks

Titelangaben

Wederhake, Lars ; Schlephorst, Simon ; Zyprian, Florian:
Make or buy : IT-based decision support for grid imbalance settlement in smarter electricity networks.
In: Energy Informatics. Bd. 5 (2022) Heft 1 . - 34.
ISSN 2520-8942
DOI: https://doi.org/10.1186/s42162-022-00217-4

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Decision (support) systems are a particularly important type of information system to energy informatics. A key challenge in energy informatics is that electricity supply must be in balance with demand at all times. More volatile renewable energy sources increase the relevance of electricity network balancing, i.e., imbalance settlement. Typically, electricity distribution network operators bought balancing power from external service providers (Buy option). Interestingly, however, more local energy resources help smarter electricity networks develop a Make option, as in our real-world evaluation. Choosing the better decision alternative within the relevant timeframes challenges human decision-making capabilities. Therefore, this research proposes a model-based decision system to improve the operators’ decisions concerning Make or Buy under various levels of data quality represented by availability, granularity, and timeliness. The study reports savings up to 40% of costs for imbalance settlement supporting ambitious development efforts by the municipality we study in our real-world evaluation.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Decision system; Model-based decision support system; Distribution network; Data quality; Grid imbalance
Institutionen der Universität: Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Forschungsinstitut für Informationsmanagement
Forschungseinrichtungen
Forschungseinrichtungen > Institute in Verbindung mit der Universität
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
Eingestellt am: 22 Jul 2023 21:00
Letzte Änderung: 24 Jul 2023 05:46
URI: https://eref.uni-bayreuth.de/id/eprint/86270