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Comparison between IEEE and CIGRE Thermal Behaviour Standards and Measured Temperature on a 132-kV Overhead Power Line

Author

Listed:
  • Alberto Arroyo

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Pablo Castro

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Raquel Martinez

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Mario Manana

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Alfredo Madrazo

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Ramón Lecuna

    (Electrical and Energy department, University of Cantabria, Av. Los Castros S/N, Santander 39005, Spain)

  • Antonio Gonzalez

    (Viesgo, Santander 39011, Spain)

Abstract

This paper presents the steady and dynamic thermal balances of an overhead power line proposed by CIGRE (Technical Brochure 601, 2014) and IEEE (Std.738, 2012) standards. The estimated temperatures calculated by the standards are compared with the averaged conductor temperature obtained every 8 min during a year. The conductor is a LA 280 Hawk type, used in a 132-kV overhead line. The steady and dynamic state comparison shows that the number of cases with deviations to conductor temperatures higher than 5 ∘ C decreases from around 20% to 15% when the dynamic analysis is used. As some of the most critical variables are magnitude and direction of the wind speed, ambient temperature and solar radiation, their influence on the conductor temperature is studied. Both standards give similar results with slight differences due to the different way to calculate the solar radiation and convection. Considering the wind, both standards provide better results for the estimated conductor temperature as the wind speed increases and the angle with the line is closer to 90 ∘ . In addition, if the theoretical radiation is replaced by that measured with the pyranometer, the number of samples with deviations higher than 5 ∘ C is reduced from around 15% to 5%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12391-13671:d:59802
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    References listed on IDEAS

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    Cited by:

    1. Francesca Capelli & Jordi-Roger Riba & Joan Pérez, 2016. "Three-Dimensional Finite-Element Analysis of the Short-Time and Peak Withstand Current Tests in Substation Connectors," Energies, MDPI, vol. 9(6), pages 1-16, May.
    2. Xiansi Lou & Wei Chen & Chuangxin Guo, 2019. "Using the Thermal Inertia of Transmission Lines for Coping with Post-Contingency Overflows," Energies, MDPI, vol. 13(1), pages 1-23, December.
    3. Mengxia Wang & Mingqiang Wang & Jinxin Huang & Zhe Jiang & Jinyan Huang, 2018. "A Thermal Rating Calculation Approach for Wind Power Grid-Integrated Overhead Lines," Energies, MDPI, vol. 11(6), pages 1-15, June.
    4. Hideharu Sugihara & Tsuyoshi Funaki & Nobuyuki Yamaguchi, 2017. "Evaluation Method for Real-Time Dynamic Line Ratings Based on Line Current Variation Model for Representing Forecast Error of Intermittent Renewable Generation," Energies, MDPI, vol. 10(4), pages 1-16, April.
    5. Mirza Sarajlić & Jože Pihler & Nermin Sarajlić & Gorazd Štumberger, 2018. "Identification of the Heat Equation Parameters for Estimation of a Bare Overhead Conductor’s Temperature by the Differential Evolution Algorithm," Energies, MDPI, vol. 11(8), pages 1-17, August.
    6. 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.
    7. Jiapeng Liu & Hao Yang & Shengjie Yu & Sen Wang & Yu Shang & Fan Yang, 2018. "Real-Time Transient Thermal Rating and the Calculation of Risk Level of Transmission Lines," Energies, MDPI, vol. 11(5), pages 1-14, May.
    8. Phillips, Tyler & DeLeon, Rey & Senocak, Inanc, 2017. "Dynamic rating of overhead transmission lines over complex terrain using a large-eddy simulation paradigm," Renewable Energy, Elsevier, vol. 108(C), pages 380-389.
    9. Ying-Yi Hong, 2016. "Electric Power Systems Research," Energies, MDPI, vol. 9(10), pages 1-4, October.
    10. Jian Hu & Xiaofu Xiong & Jing Chen & Wei Wang & Jian Wang, 2018. "Transient Temperature Calculation and Multi-Parameter Thermal Protection of Overhead Transmission Lines Based on an Equivalent Thermal Network," Energies, MDPI, vol. 12(1), pages 1-25, December.

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