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Risk Assessment of Failure of Outdoor High Voltage Polluted Insulators under Combined Stresses Near Shoreline

Author

Listed:
  • Muhammad Majid Hussain

    (School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK)

  • Shahab Farokhi

    (School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK)

  • Scott G. McMeekin

    (School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK)

  • Masoud Farzaneh

    (Department of Applied Sciences, University of Quebec at Chicoutimi, Saguenay, QC G7H 2B1, Canada)

Abstract

The aim of this paper is to investigate the various effects of climate conditions on outdoor insulators in coastal areas as a result of saline contamination under acidic and normal cold fog, determining significant electrical and physico-chemical changes on the insulator surface and considering the effect of discharge current, electric field distribution and surface roughness. To replicate similar conditions near the shoreline, experimental investigations have been carried out on insulation materials with the combined application of saline contamination and acidic or normal cold fog. The test samples included silicone rubber (SiR), ethylene propylene diene monomer (EPDM) and high-density polyethylene (HDPE), which were used as reference. The materials are of the same composition as those used in real-life outdoor high voltage insulators. All samples were aged separately in an environmental chamber for 150 h for various saline contaminations combined with acidic and normal cold fog, and were generated by means of the adopted experimental setup. This analysis represented conditions similar to those existing near the shoreline exposed to saline and acid spray during winter and early spring. Electric field and discharge current along polymeric samples were examined under acidic and normal cold fog. Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopic (SEM) were used to probe the physico-chemical changes on the samples surface and investigate the hydrophobicity recovery property after aging tests. Finally, a comparative study was carried out on polymeric samples before and after being exposed to the acidic and normal cold fog based on the results obtained from the experiment. Research data may provide references for the better prediction of surface degradation as well as for the better material coating and design of external insulation.

Suggested Citation

  • Muhammad Majid Hussain & Shahab Farokhi & Scott G. McMeekin & Masoud Farzaneh, 2017. "Risk Assessment of Failure of Outdoor High Voltage Polluted Insulators under Combined Stresses Near Shoreline," Energies, MDPI, vol. 10(10), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1661-:d:115717
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    Citations

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    Cited by:

    1. Qiuqin Sun & Fei Lin & Weitao Yan & Feng Wang & She Chen & Lipeng Zhong, 2018. "Estimation of the Hydrophobicity of a Composite Insulator Based on an Improved Probabilistic Neural Network," Energies, MDPI, vol. 11(9), pages 1-20, September.
    2. Mohamed Lamine Amrani & Slimane Bouazabia & Issouf Fofana & Fethi Meghnefi & Marouane Jabbari & Djazia Khelil & Amina Boudiaf, 2021. "Modelling Surface Electric Discharge Propagation on Polluted Insulators under AC Voltage," Energies, MDPI, vol. 14(20), pages 1-15, October.
    3. Lin Yang & Jikai Bi & Yanpeng Hao & Lupeng Nian & Zijun Zhou & Licheng Li & Yifan Liao & Fuzeng Zhang, 2018. "A Recognition Method of the Hydrophobicity Class of Composite Insulators Based on Features Optimization and Experimental Verification," Energies, MDPI, vol. 11(4), pages 1-13, March.
    4. Dongdong Zhang & Hong Xu & Jin Liu & Chengshun Yang & Xiaoning Huang & Zhijin Zhang & Xingliang Jiang, 2021. "Research on the Non-Contact Pollution Monitoring Method of Composite Insulator Based on Space Electric Field," Energies, MDPI, vol. 14(8), pages 1-15, April.
    5. Arshad & Jawad Ahmad & Ahsen Tahir & Brian G. Stewart & Azam Nekahi, 2020. "Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique," Energies, MDPI, vol. 13(15), pages 1-16, July.
    6. Rajamohan Jayabal & K. Vijayarekha & S. Rakesh Kumar, 2018. "Design of ANFIS for Hydrophobicity Classification of Polymeric Insulators with Two-Stage Feature Reduction Technique and Its Field Deployment," Energies, MDPI, vol. 11(12), pages 1-16, December.
    7. Muhammad Majid Hussain & Muhammad Akmal Chaudhary & Abdul Razaq, 2019. "Mechanism of Saline Deposition and Surface Flashover on High-Voltage Insulators near Shoreline: Mathematical Models and Experimental Validations," Energies, MDPI, vol. 12(19), pages 1-20, September.

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