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Minimization of Wind Power Curtailment using Dynamic Line Rating
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0002-4065-715x
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2020 (English)In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2020Conference paper, Published paper (Refereed)
Abstract [en]

Large scale penetration of wind power to the grid and unevenly spread power demand can result in the transmission system not being able to dispatch all the produced wind power, causing in wind power curtailment.Dynamic line rating (DLR) is a technology which uses thermal properties of overhead conductors and weather data to determine the real-time ampacity limits of transmission lines. In general, dynamic rating allows extending capacity limits of power lines and helps to remove congestion in the grid.(/p)(p This study looks into the possibility of using dynamic line rating for removing congestion in the power system to allow dispatching more wind power and minimize the need for curtailment. The results of case-studies have shown that DLR allows to significantly reduce the curtailment of generation, especially during winter, when wind production is highest and day time, when the power demand is the highest.

Place, publisher, year, edition, pages
2020.
Keywords [en]
dynamic line rating, wind power curtailment
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-287775DOI: 10.1109/ISGT-Europe47291.2020.9248934ISI: 000758439100120Scopus ID: 2-s2.0-85097353886OAI: oai:DiVA.org:kth-287775DiVA, id: diva2:1511223
Conference
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage, FPS18StandUp for Wind
Note

QC 20220926

Available from: 2020-12-18 Created: 2020-12-18 Last updated: 2022-09-26Bibliographically approved

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Chakrapani Manakari, VageeshThengius, SandraTammanur Ravi, AkshayaMorozovska, KaterynaHilber, Patrik

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Chakrapani Manakari, VageeshThengius, SandraTammanur Ravi, AkshayaMorozovska, KaterynaHilber, Patrik
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CiteExportLink to record
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Citation style
  • apa
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Language
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Output format
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