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Study on the Effect of Cable Group Laying Mode on Temperature Field Distribution and Cable Ampacity

Author

Listed:
  • Lan Xiong

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Yonghui Chen

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Yang Jiao

    (Urban Power Supply Branch, State Grid Hefei Electric Power Supply Company, Hefei 230022, China)

  • Jie Wang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Xiao Hu

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

Abstract

The reliability and service life of power cables is closely related to the cable ampacity and temperature rise. Therefore, studying the temperature field distribution and the cable ampacity is helpful to improve the construction guidelines of cable manufacturers. Taking a 8.7/15 kV YJV 1 × 400 XLPE three-loop power cable as the research object, cable temperature is calculated by IEC-60287 thermal circuit method and numerical simulation method, respectively. The results show that the numerical simulation method is more in line with the actual measured temperature, and the relative error is only 0.32% compared with the actual measured temperature. The temperature field and air velocity field of cluster cables with different laying methods are analyzed by finite element method. The corresponding cable ampacity are calculated by secant method. The results show that when the cable is laid at the bottom of the cable trench, the cable current is 420 A, which is 87.5% of the regular laying. Under irregular laying mode, the temperature of cable is higher than that of regular laying mode and the cable ampacity is lower than that of regular laying mode. At the same time, a multiparameter online monitoring system is developed to online monitor the temperature, water level and smoke concentration of the cable.

Suggested Citation

  • Lan Xiong & Yonghui Chen & Yang Jiao & Jie Wang & Xiao Hu, 2019. "Study on the Effect of Cable Group Laying Mode on Temperature Field Distribution and Cable Ampacity," Energies, MDPI, vol. 12(17), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3397-:d:263728
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    References listed on IDEAS

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    1. Seok-Ju Lee & Hae-Jin Sung & Minwon Park & DuYean Won & Jaeun Yoo & Hyung Suk Yang, 2019. "Analysis of the Temperature Characteristics of Three-Phase Coaxial Superconducting Power Cable according to a Liquid Nitrogen Circulation Method for Real-Grid Application in Korea," Energies, MDPI, vol. 12(9), pages 1-11, May.
    2. Jiangjun Ruan & Qinghua Zhan & Liezheng Tang & Ke Tang, 2018. "Real-Time Temperature Estimation of Three-Core Medium-Voltage Cable Joint Based on Support Vector Regression," Energies, MDPI, vol. 11(6), pages 1-18, May.
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    Citations

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    Cited by:

    1. Artur Cywiński & Krzysztof Chwastek, 2021. "A Multiphysics Analysis of Coupled Electromagnetic-Thermal Phenomena in Cable Lines," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Antonino Imburgia & Pietro Romano & George Chen & Giuseppe Rizzo & Eleonora Riva Sanseverino & Fabio Viola & Guido Ala, 2019. "The Industrial Applicability of PEA Space Charge Measurements, for Performance Optimization of HVDC Power Cables," Energies, MDPI, vol. 12(21), pages 1-13, November.
    3. Artur Cywiński & Krzysztof Chwastek & Dariusz Kusiak & Paweł Jabłoński, 2020. "Optimization of Spatial Configuration of Multistrand Cable Lines," Energies, MDPI, vol. 13(22), pages 1-22, November.
    4. Yuting Zhang & Fuhao Yu & Zhe Ma & Jian Li & Jiang Qian & Xiaojiao Liang & Jianzhong Zhang & Mingjiang Zhang, 2022. "Conductor Temperature Monitoring of High-Voltage Cables Based on Electromagnetic-Thermal Coupling Temperature Analysis," Energies, MDPI, vol. 15(2), pages 1-14, January.
    5. Lixiao Mu & Xiaobing Xu & Zhanran Xia & Bin Yang & Haoran Guo & Wenjun Zhou & Chengke Zhou, 2021. "Autonomous Analysis of Infrared Images for Condition Diagnosis of HV Cable Accessories," Energies, MDPI, vol. 14(14), pages 1-15, July.
    6. Stanislaw Czapp & Seweryn Szultka & Adam Tomaszewski, 2020. "Design of Power Cable Lines Partially Exposed to Direct Solar Radiation—Special Aspects," Energies, MDPI, vol. 13(10), pages 1-16, May.

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