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

Title data

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

Official URL:

Abstract in another language

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.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Decision system; Model-based decision support system; Distribution network; Data quality; Grid imbalance
Institutions of the University:	Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Research Institutions Research Institutions > Affiliated Institutes
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	22 Jul 2023 21:00
Last Modified:	24 Jul 2023 05:46
URI:	https://eref.uni-bayreuth.de/id/eprint/86270