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A Review of Aging Models for Electrical Insulation in Power Cables

Author

Listed:
  • Maninder Choudhary

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia
    Department of Electrical Engineering, Sir Syed University of Engineering and Technology, Karachi 75300, Pakistan)

  • Muhammad Shafiq

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Ivar Kiitam

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Amjad Hussain

    (Department of Electrical Engineering, American University of Kuwait, Kuwait City 15453, Kuwait)

  • Ivo Palu

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

  • Paul Taklaja

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 12616 Tallinn, Estonia)

Abstract

Electrical insulation is an integral part of power components. The aging of electrical insulation is an undeniable fact that limits the operational lifetime of power components. Apart from regular aging, abnormal stresses and the development of defects are real threats because of their contribution in accelerating the aging rate and thereby leading to a premature failure of the power components. Over the decades, various studies have been carried out to understand the aging behavior of electrical insulation mainly considering electrical and thermal stresses. Similarly, a number of mathematical (aging) models have been developed based on the theoretical and experimental investigations and evidences. However, a dependable formulation of the models that can provide more practical estimation of the insulation degradation profile has not been achieved yet. This paper presents a comprehensive review of the aging models considering single and multistress conditions. Further, the paper discusses possible challenges and barricades averting the conventional models to achieve a suitable accuracy. Finally, suggestions are provided that can be considered to improve the modeling approaches and their performance.

Suggested Citation

  • Maninder Choudhary & Muhammad Shafiq & Ivar Kiitam & Amjad Hussain & Ivo Palu & Paul Taklaja, 2022. "A Review of Aging Models for Electrical Insulation in Power Cables," Energies, MDPI, vol. 15(9), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3408-:d:810038
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    References listed on IDEAS

    as
    1. Muhammad Shafiq & Ivar Kiitam & Kimmo Kauhaniemi & Paul Taklaja & Lauri Kütt & Ivo Palu, 2020. "Performance Comparison of PD Data Acquisition Techniques for Condition Monitoring of Medium Voltage Cables," Energies, MDPI, vol. 13(16), pages 1-14, August.
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    Cited by:

    1. Paweł Kut & Katarzyna Pietrucha-Urbanik, 2022. "Most Searched Topics in the Scientific Literature on Failures in Photovoltaic Installations," Energies, MDPI, vol. 15(21), pages 1-14, October.

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