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Dynamic rating of the wind farm transformer from the power system’s perspective
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (QED Asset Management group)ORCID iD: 0000-0002-4065-715X
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0002-2964-7233
2021 (English)In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2021, article id 9494902Conference paper, Published paper (Refereed)
Abstract [en]

Dynamic transformer rating is a novel technology that has been showing high industry potential. This study uses dynamic rating on medium power transformer in the regional grid. The 63 MVA transformer is used for connecting the wind farm to the grid in Körsbärsdalen. The power system analysis evaluates how dynamic transformer rating (DTR) and increased share of wind power affect the grid performance with respect to reliability, voltage stability and active power losses. The actual rating has exceeded nominal capacity throughout the year, with larger margins during the winter. Rate of transformer lifetime is used as an input for economical analysis, with a trade-off between reliability and revenue from increased capacity and cheaper dispatch. Through the power system analysis procedure presented further, it is possible to sort out the most probable faults to cause severe violations. The fault probability is used for efficient reinforcement of the grid. The contingency and reliability analysis can help find the solutions that will decrease the probability of violations most efficiently. Furthermore, the developed procedure can also be used when expanding the grid and determining which grid alternative will be most reliable.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. article id 9494902
Keywords [en]
dynamic transformer rating, power transformer, power system reliability
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-303926DOI: 10.1109/PowerTech46648.2021.9494902ISI: 000848778000152Scopus ID: 2-s2.0-85112391403OAI: oai:DiVA.org:kth-303926DiVA, id: diva2:1605080
Conference
2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, 28 June 2021, through 2 July 2021
Funder
Swedish Energy AgencySweGRIDS - Swedish Centre for Smart Grids and Energy StorageStandUp for Wind
Note

QC 20220927

Part of proceedings: ISBN 978-1-6654-3597-0

Available from: 2021-10-21 Created: 2021-10-21 Last updated: 2024-03-15Bibliographically approved

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Morozovska, KaterynaHilber, Patrik

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Output format
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