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Model for Predicting DC Flashover Voltage of Pre-Contaminated and Ice-Covered Long Insulator Strings under Low Air Pressure

Author

Listed:
  • Jianlin Hu

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Caixin Sun

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Xingliang Jiang

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qing Yang

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Zhijin Zhang

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Lichun Shu

    (State Key Laboratory of Power Transmission Equipments & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

In the current study, a multi-arc predicting model for DC critical flashover voltage of iced and pre-contaminated long insulator strings under low atmospheric pressure is developed. The model is composed of a series of different polarity surface arcs, icicle-icicle air gap arcs, and residual layer resistance. The calculation method of the residual resistance of the ice layer under DC multi-arc condition is established. To validate the model, 7-unit and 15-unit insulator strings were tested in a multi-function artificial climate chamber under the coexistent conditions of low air pressure, pollution, and icing. The test results showed that the values calculated by the model satisfactorily agreed with those experimentally measured, with the errors within the range of 10%, validating the rationality of the model.

Suggested Citation

  • Jianlin Hu & Caixin Sun & Xingliang Jiang & Qing Yang & Zhijin Zhang & Lichun Shu, 2011. "Model for Predicting DC Flashover Voltage of Pre-Contaminated and Ice-Covered Long Insulator Strings under Low Air Pressure," Energies, MDPI, vol. 4(4), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:4:p:628-643:d:12107
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    Citations

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    Cited by:

    1. Jiazheng Lu & Pengkang Xie & Zhenglong Jiang & Zhen Fang & Wei Wu, 2018. "Voltage Distribution and Flashover Performance of 220 kV Composite Insulators under Different Icing Conditions," Energies, MDPI, vol. 11(3), pages 1-13, March.
    2. Xingliang Jiang & Quanlin Wang & Zhijing Zhang & Jianlin Hu & Qin Hu & Chengzhi Zhu, 2017. "Ion Migration in the Process of Water Freezing under Alternating Electric Field and Its Impact on Insulator Flashover," Energies, MDPI, vol. 10(1), pages 1-17, January.
    3. Xingbo Han & Xingliang Jiang & Zhongyi Yang & Conglai Bi, 2018. "A Predictive Model for Dry-Growth Icing on Composite Insulators under Natural Conditions," Energies, MDPI, vol. 11(6), pages 1-16, May.
    4. Jordi-Roger Riba & William Larzelere & Johannes Rickmann, 2018. "Voltage Correction Factors for Air-Insulated Transmission Lines Operating in High-Altitude Regions to Limit Corona Activity: A Review," Energies, MDPI, vol. 11(7), pages 1-14, July.
    5. Jingjing Wang & Junhua Wang & Jianwei Shao & Jiangui Li, 2017. "Image Recognition of Icing Thickness on Power Transmission Lines Based on a Least Squares Hough Transform," Energies, MDPI, vol. 10(4), pages 1-15, March.

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