IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1003-d737762.html
   My bibliography  Save this article

Performance Analysis of a Dynamic Line Rating System Based on Project Experiences

Author

Listed:
  • Levente Rácz

    (Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary)

  • Bálint Németh

    (Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary)

  • Gábor Göcsei

    (Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary)

  • Dimitar Zarchev

    (National Dispatch Center, Electricity System Operator (ESO), 201, Tsar Boris III Blvd., 1618 Sofia, Bulgaria)

  • Valeri Mladenov

    (Department Fundamentals of Electrical Engineering, Technical University of Sofia, 8 Kliment Ohridski Blvd., Block 12, 1000 Sofia, Bulgaria)

Abstract

This paper aims to demonstrate the performance and reliability analysis of a dynamic line rating (DLR) system at the Bulgarian demonstration site of the FLEXITRANSTORE project. As part of the project, various manufacturers’ different line monitoring DLR sensors and weather stations were installed on a 110 kV double-circuit overhead line (OHL). These devices provided input parameters to the DLR system based on objective measurements. This paper used statistical tools to examine the reliability and accuracy of installed devices, thus making products from different manufacturers comparable. In addition, two independent line monitoring and DLR models have been developed: the black-box and extended white-box models. The performances of the two models were analyzed for the same input parameters and compared to the field measurements. Based on the presented results, the reliability and accuracy of the applied weather stations of different companies were almost the same. This conclusion cannot be said for DLR line monitoring sensors, where the devices could be differentiated based on reliability and measurement accuracy results. In terms of models, the usability of the extended white-box model seemed to be limited in certain weather conditions, implicating a more significant role for soft-computing-based DLR models in the future. In addition to the results, root causes for the errors and future directions that may provide a framework for further research are also presented.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1003-:d:737762
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1003/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/3/1003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Glaum, Philipp & Hofmann, Fabian, 2023. "Leveraging the existing German transmission grid with dynamic line rating," Applied Energy, Elsevier, vol. 343(C).
    3. Ramitha Dissanayake & Akila Wijethunge & Janaka Wijayakulasooriya & Janaka Ekanayake, 2022. "Optimizing PV-Hosting Capacity with the Integrated Employment of Dynamic Line Rating and Voltage Regulation," Energies, MDPI, vol. 15(22), pages 1-19, November.
    4. Behzad Keyvani & Eoin Whelan & Eadaoin Doddy & Damian Flynn, 2023. "Indirect weather‐based approaches for increasing power transfer capabilities of electrical transmission networks," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(3), May.
    5. Jeff Laninga & Ali Nasr Esfahani & Gevindu Ediriweera & Nathan Jacob & Behzad Kordi, 2023. "Monitoring Technologies for HVDC Transmission Lines," Energies, MDPI, vol. 16(13), pages 1-32, June.
    6. Paolo Sospiro & Lohith Amarnath & Vincenzo Di Nardo & Giacomo Talluri & Foad H. Gandoman, 2021. "Smart Grid in China, EU, and the US: State of Implementation," Energies, MDPI, vol. 14(18), pages 1-16, September.
    7. 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).
    8. 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).
    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.
    10. Raquel Martinez & Mario Manana & Alberto Arroyo & Sergio Bustamante & Alberto Laso & Pablo Castro & Rafael Minguez, 2021. "Dynamic Rating Management of Overhead Transmission Lines Operating under Multiple Weather Conditions," Energies, MDPI, vol. 14(4), pages 1-21, February.
    11. 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).
    12. 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.
    13. Teresa Nogueira & José Magano & Ezequiel Sousa & Gustavo R. Alves, 2021. "The Impacts of Battery Electric Vehicles on the Power Grid: A Monte Carlo Method Approach," Energies, MDPI, vol. 14(23), pages 1-18, December.
    14. 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.
    15. Yasir Yaqoob & Arjuna Marzuki & Ching-Ming Lai & Jiashen Teh, 2022. "Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines," Energies, MDPI, vol. 15(12), pages 1-23, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1003-:d:737762. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.