Electrolyzer Scheduling for Nordic FCR Services

Marco Saretta*, Enrica Raheli*, Jalal Kazempour*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The cost competitiveness of green hydrogen production via electrolysis presents a significant challenge for its large-scale adoption. One potential solution to make electrolyzers profitable is to diversify their products and participate in various markets, generating additional revenue streams. Electrolyzers can be utilized as flexible loads and participate in various frequency-supporting ancillary service markets by adjusting their operating set points. This paper develops a mixed-integer linear model, deriving an optimal scheduling strategy for an electrolyzer providing Frequency Containment Reserve (FCR) services in the Nordic synchronous region. Depending on the hydrogen price and demand, results show that the provision of various FCR services, particularly those for critical frequency conditions (FCR-D), could significantly increase the profit of the electrolyzer.
Original languageEnglish
Title of host publicationProceedings of IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm)
Number of pages6
PublisherIEEE
Publication date2023
ISBN (Electronic)978-1-6654-5556-5
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - Glasgow, United Kingdom
Duration: 31 Oct 20233 Nov 2023

Conference

Conference2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
Country/TerritoryUnited Kingdom
CityGlasgow
Period31/10/202303/11/2023
SeriesIEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
ISSN2474-2902

Keywords

  • Electrolyzer
  • Scheduling
  • Frequency-supporting ancillary services
  • Mixed-integer linear optimization

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