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Research on Value-Seeking Calculation Method of Icing Environmental Parameters Based on Four Rotating Cylinders Array

Author

Listed:
  • Guolin Yang

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Yi Liao

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Xingliang Jiang

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Xiangshuai Han

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Jiangyi Ding

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Yu Chen

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

  • Xingbo Han

    (School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Zhijin Zhang

    (Xuefeng Mountain Energy Equipment Safety National Observation and Research Station of Chongqing University, Chongqing 400044, China)

Abstract

This paper calculates and analyzes the collision and freezing characteristics of water droplets on the cylindrical conductors with different diameters and deduces the variation law of icing weight change rate on different diameters rotating cylindrical conductors with wind speed, ambient temperature, liquid water content, and median volume diameter. Then, a prediction and value-seeking method of icing environment parameters based on rotating circular conductors is determined. The laboratory test results show that the measured values of ambient temperature T , wind speed U , liquid water content w and median volume diameter MVD are in good conformity with the reference values measured by other instruments, and the average errors of each parameter are 3.41%, 5.44%, 6.08% and 7.20%, respectively. The field natural experiment was carried out at Hunan Xuefengshan Energy Equipment Safety National Observation and Research Station. The obtained icing environmental parameters were substituted into the icing simulation calculation model of the LDQ-100 glass insulator. Compared with the field experiment results, the simulated ice shape and the field ice shape were in good agreement. The error between the numerical calculation results of the icing weight and the field icing weight of the experimental insulator was less than 6%.

Suggested Citation

  • Guolin Yang & Yi Liao & Xingliang Jiang & Xiangshuai Han & Jiangyi Ding & Yu Chen & Xingbo Han & Zhijin Zhang, 2022. "Research on Value-Seeking Calculation Method of Icing Environmental Parameters Based on Four Rotating Cylinders Array," Energies, MDPI, vol. 15(19), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7242-:d:931905
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    References listed on IDEAS

    as
    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. Marouane Jabbari & Christophe Volat & Issouf Fofana, 2018. "Numerical Modelling of Ice-Covered Insulator Flashover: The Influence of Arc Velocity and Arc Propagation Criteria," Energies, MDPI, vol. 11(10), pages 1-20, October.
    3. Jiazheng Lu & Jun Guo & Zhou Jian & Yihao Yang & Wenhu Tang, 2018. "Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems," Energies, MDPI, vol. 11(9), pages 1-15, August.
    4. Zhijin Zhang & Shenghuan Yang & Xingliang Jiang & Xinhan Qiao & Yingzhu Xiang & Dongdong Zhang, 2019. "DC Flashover Dynamic Model of Post Insulator under Non-Uniform Pollution between Windward and Leeward Sides," Energies, MDPI, vol. 12(12), pages 1-17, June.
    5. Dang Luo & Wenxin Mao & Huifang Sun, 2017. "Risk assessment and analysis of ice disaster in Ning–Meng reach of Yellow River based on a two-phased intelligent model under grey information environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 591-610, August.
    6. 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.
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