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Dynamic thermal rating of transmission lines: A review

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  • Karimi, Soheila
  • Musilek, Petr
  • Knight, Andrew M.

Abstract

Electrical load growth and the addition of renewable energy generation occur at a rate that can outpace transmission development. As a consequence, transmission lines may become constrained. To accommodate load growth or distributed generation connections, one option is to operate existing transmission facilities up to their actual physical capacity rather than a conservative estimate of line capacity. Dynamic thermal rating of transmission lines provides actual current-carrying capacity of overhead lines based on real-time operating conditions. Dynamic Thermal Line Rating (DTLR) approaches vary significantly from one study to another in implementation, objectives and outcomes. Existing literature has presented several methodologies for DTLR adoption. This paper provides a comprehensive study of the literature on DTLR. It presents a survey and evaluation of various DTLR technologies, DTLR equipment, challenges with DTLR deployment, real world applications, and future approaches to DTLR implementation. The presented work is organized to allow a reader to understand and compare various DTLR approaches.

Suggested Citation

  • Karimi, Soheila & Musilek, Petr & Knight, Andrew M., 2018. "Dynamic thermal rating of transmission lines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 600-612.
    • Handle: RePEc:eee:rensus:v:91:y:2018:i:c:p:600-612
    DOI: 10.1016/j.rser.2018.04.001
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    References listed on IDEAS

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    1. Banerjee, Binayak & Jayaweera, Dilan & Islam, Syed, 2015. "Risk constrained short-term scheduling with dynamic line ratings for increased penetration of wind power," Renewable Energy, Elsevier, vol. 83(C), pages 1139-1146.
    2. Michiorri, Andrea & Nguyen, Huu-Minh & Alessandrini, Stefano & Bremnes, John Bjørnar & Dierer, Silke & Ferrero, Enrico & Nygaard, Bjørn-Egil & Pinson, Pierre & Thomaidis, Nikolaos & Uski, Sanna, 2015. "Forecasting for dynamic line rating," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1713-1730.
    3. Fernandez, E. & Albizu, I. & Bedialauneta, M.T. & Mazon, A.J. & Leite, P.T., 2016. "Review of dynamic line rating systems for wind power integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 80-92.
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    Cited by:

    1. Shamsul Fahmi Mohd Nor & Mohd Zainal Abidin Ab Kadir & Azrul Mohd Ariffin & Miszaina Osman & Muhammad Syahmi Abd Rahman & Noorlina Mohd Zainuddin, 2021. "Issues and Challenges in Voltage Uprating for Sustainable Power Operation: A Case Study of a 132 kV Transmission Line System in Malaysia," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    2. Glaum, Philipp & Hofmann, Fabian, 2023. "Leveraging the existing German transmission grid with dynamic line rating," Applied Energy, Elsevier, vol. 343(C).
    3. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Riba, Jordi-Roger & Santiago Bogarra, & Gómez-Pau, Álvaro & Moreno-Eguilaz, Manuel, 2020. "Uprating of transmission lines by means of HTLS conductors for a sustainable growth: Challenges, opportunities, and research needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    5. F. Gülşen Erdinç & Ozan Erdinç & Recep Yumurtacı & João P. S. Catalão, 2020. "A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View," Energies, MDPI, vol. 13(24), pages 1-30, December.
    6. Abedi, Amin & Romerio, Franco, 2020. "Multi-period vulnerability analysis of power grids under multiple outages: An AC-based bilevel optimization approach," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    7. Diana Enescu & Pietro Colella & Angela Russo & Radu Florin Porumb & George Calin Seritan, 2021. "Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables," Energies, MDPI, vol. 14(9), pages 1-23, May.
    8. Levente Rácz & Bálint Németh & Gábor Göcsei & Dimitar Zarchev & Valeri Mladenov, 2022. "Performance Analysis of a Dynamic Line Rating System Based on Project Experiences," Energies, MDPI, vol. 15(3), pages 1-11, January.
    9. Gian Marco Paldino & Fabrizio De Caro & Jacopo De Stefani & Alfredo Vaccaro & Domenico Villacci & Gianluca Bontempi, 2022. "A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines," Energies, MDPI, vol. 15(6), pages 1-17, March.

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