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Transmission Line Overloading Analysis Using Probabilistic Dynamic Line Rating
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-2634-8852
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2020 (English)In: 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), IEEE, 2020Conference paper, Published paper (Refereed)
Abstract [en]

Load growth and addition of renewable energy generation occur in a way that makes the power grid being operated closer to its physical limits. Increasing the flexibility of the electrical power system is an essential step in ensuring a continued high reliability of the electricity supply. Dynamic line rating (DLR) can be utilized to increase the reliability of the system by ordering curtailment only when needed. In this paper, a probabilistic approach is introduced for the operational overload protection based on the probability distribution of the actual line capacity. That distribution is obtained by considering measurement and prediction errors in weather parameters as well as other uncertainties. The results indicate that probabilistic DLR based protection would allow operational decision-making based on a fair balance between dependability and security. This is not possible using the classical overload protection system.

Place, publisher, year, edition, pages
IEEE, 2020.
Series
International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), ISSN 2642-6730, E-ISSN 2642-6757
Keywords [en]
Curtailment, Dynamic Line Rating, Protection, Probabilistic Approach, Uncertainty
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-80673DOI: 10.1109/PMAPS47429.2020.9183550ISI: 000841883300045Scopus ID: 2-s2.0-85091327402OAI: oai:DiVA.org:ltu-80673DiVA, id: diva2:1463933
Conference
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 18-21 Augusti, 2020, Liege, Belgium (On-line)
Note

ISBN för värdpublikation: 978-1-7281-2822-1, 978-1-7281-2823-8

Available from: 2020-09-03 Created: 2020-09-03 Last updated: 2024-03-07Bibliographically approved

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Hajeforosh, Seyede FatemehBollen, Math H. J.

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