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Energy Management System (EMS) of Battery Energy Storage System (BESS) – Providing Ancillary Services
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. (RCAM)ORCID iD: 0000-0002-6095-7811
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. (RCAM)ORCID iD: 0000-0003-4763-9429
2021 (English)In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2021, article id 9494781Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, an Energy Management System (EMS) that manages a Battery Energy Storage System (BESS) is implemented. It performs peak shaving of a local load and provides frequency regulation services using Frequency Containment Reserve (FCR-N) in the Swedish reserve market. The EMS optimizes the approach of BESS resource dispatch distribution between two ancillary services, such that it maximizes profits and resource efficiency while enhancing overall system reliability of the electricity grid. The EMS consists of; a Prognosis Module running a day ahead to allow for identification of intervals for peak shaving and frequency regulation, and a Real-time Operation Module running on the day of operation creating BESS control commands. Implementing the Prognosis module on Öckerö ice-rink results in 12% cost saving on the grid tariff with 21% power peak reduction and three hours of daily frequency reserve. Multiple such systems can be aggregated to improve flexibility of the system.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. article id 9494781
Keywords [en]
Battery Energy Storage System, Energy Management System, Frequency Regulation, Peak Shaving
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-302157DOI: 10.1109/powertech46648.2021.9494781ISI: 000848778000033Scopus ID: 2-s2.0-85112380322OAI: oai:DiVA.org:kth-302157DiVA, id: diva2:1617828
Conference
2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, 28 June 2021 through 2 July 2021
Note

QC 20211209

Part of proceeding: ISBN 978-166543597-0

Available from: 2021-12-07 Created: 2021-12-07 Last updated: 2024-03-18Bibliographically approved

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Shafique, HamzaBertling Tjernberg, Lina

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