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Real-Time Temperature Estimation of Three-Core Medium-Voltage Cable Joint Based on Support Vector Regression

Author

Listed:
  • Jiangjun Ruan

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Qinghua Zhan

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Liezheng Tang

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Ke Tang

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

The joint is the weakest link in three-core medium-voltage power cable systems and the temperature is an essential indicator to its insulation condition. Therefore, a model to estimate the temperature inside the three-core cable joint was built based on support vector regression (SVR) with two fixed cable surface temperatures as inputs. The samples for model training were obtained from 3-D transient thermal analyses through finite element method (FEM) under different single-step currents. A temperature-rise test of 15 kV three-core cable joint was carried out and the estimated temperature based on SVR agrees well with the measured result with a maximum error of about 4 °C. Besides, the proposed model could accurately estimate the joint temperature even though the thermal conductivity of armor wrap used in thermal analysis for model training differs from its real value. The accuracies and calculation speed of the proposed model were compared with those of FEM, showing a better generality of our model. A temperature-rise test under unbalanced three-phase currents was performed and the temperature estimation errors are within 6 °C, indicating the applicability of the method. The effect of contact resistance was briefly discussed in the end. This approach helps improve cable operation and maintenance.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1405-:d:149873
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    References listed on IDEAS

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    1. Fan Yang & Kai Liu & Peng Cheng & Shaohua Wang & Xiaoyu Wang & Bing Gao & Yalin Fang & Rong Xia & Irfan Ullah, 2016. "The Coupling Fields Characteristics of Cable Joints and Application in the Evaluation of Crimping Process Defects," Energies, MDPI, vol. 9(11), pages 1-19, November.
    2. Pengyu Wang & Gang Liu & Hui Ma & Yigang Liu & Tao Xu, 2017. "Investigation of the Ampacity of a Prefabricated Straight-Through Joint of High Voltage Cable," Energies, MDPI, vol. 10(12), pages 1-17, December.
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    Cited by:

    1. Fan Yang & Ningxi Zhu & Gang Liu & Hui Ma & Xiaoyu Wei & Chuanliang Hu & Zhenhua Wang & Jiasheng Huang, 2018. "A New Method for Determining the Connection Resistance of the Compression Connector in Cable Joint," Energies, MDPI, vol. 11(7), pages 1-19, June.
    2. 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.
    3. Tommaso Bragatto & Alberto Cerretti & Luigi D’Orazio & Fabio Massimo Gatta & Alberto Geri & Marco Maccioni, 2019. "Thermal Effects of Ground Faults on MV Joints and Cables," Energies, MDPI, vol. 12(18), pages 1-15, September.

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