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Dynamic Rating Management of Overhead Transmission Lines Operating under Multiple Weather Conditions

Author

Listed:
  • Raquel Martinez

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Mario Manana

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Alberto Arroyo

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Sergio Bustamante

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Alberto Laso

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Pablo Castro

    (Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain)

  • Rafael Minguez

    (Viesgo Distribution, S.L. C/ Isabel Torres 25, (PCTCAN), 39011 Santander, Spain)

Abstract

Integration of a large number of renewable systems produces line congestions, resulting in a problem for distribution companies, since the lines are not capable of transporting all the energy that is generated. Both environmental and economic constraints do not allow the building new lines to manage the energy from renewable sources, so the efforts have to focus on the existing facilities. Dynamic Rating Management (DRM) of power lines is one of the best options to achieve an increase in the capacity of the lines. The practical application of DRM, based on standards IEEE (Std.738, 2012) and CIGRE TB601 (Technical Brochure 601, 2014) , allows to find several deficiencies related to errors in estimations. These errors encourage the design of a procedure to obtain high accuracy ampacity values. In the case of this paper, two methodologies have been tested to reduce estimation errors. Both methodologies use the variation of the weather inputs. It is demonstrated that a reduction of the conductor temperature calculation error has been achieved and, consequently, a reduction of ampacity error.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1136-:d:503095
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    References listed on IDEAS

    as
    1. Jintae Cho & Jae-Han Kim & Hak-Ju Lee & Ju-Yong Kim & Il-Keun Song & Joon-Ho Choi, 2014. "Development and Improvement of an Intelligent Cable Monitoring System for Underground Distribution Networks Using Distributed Temperature Sensing," Energies, MDPI, vol. 7(2), pages 1-19, February.
    2. 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.
    3. Davide Lauria & Fabio Mottola & Stefano Quaia, 2019. "Analytical Description of Overhead Transmission Lines Loadability," Energies, MDPI, vol. 12(16), pages 1-18, August.
    4. Alberto Arroyo & Pablo Castro & Raquel Martinez & Mario Manana & Alfredo Madrazo & Ramón Lecuna & Antonio Gonzalez, 2015. "Comparison between IEEE and CIGRE Thermal Behaviour Standards and Measured Temperature on a 132-kV Overhead Power Line," Energies, MDPI, vol. 8(12), pages 1-12, December.
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