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On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions

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  • Yazid Hadjadj

    (Canada Research Chair on Insulating Liquids and Mixed Dielectrics for Electrotechnology (ISOLIME), Université du Québec à Chicoutimi, 555 Boulevard de l'université, Chicoutimi, QC G7H 2B1, Canada)

  • Fethi Meghnefi

    (Canada Research Chair on Insulating Liquids and Mixed Dielectrics for Electrotechnology (ISOLIME), Université du Québec à Chicoutimi, 555 Boulevard de l'université, Chicoutimi, QC G7H 2B1, Canada)

  • Issouf Fofana

    (Canada Research Chair on Insulating Liquids and Mixed Dielectrics for Electrotechnology (ISOLIME), Université du Québec à Chicoutimi, 555 Boulevard de l'université, Chicoutimi, QC G7H 2B1, Canada)

  • Hassan Ezzaidi

    (Canada Research Chair on Insulating Liquids and Mixed Dielectrics for Electrotechnology (ISOLIME), Université du Québec à Chicoutimi, 555 Boulevard de l'université, Chicoutimi, QC G7H 2B1, Canada)

Abstract

Frequency Domain Spectroscopy (FDS) is an effective tool allowing assessing the condition of oil-paper insulation system in power equipment. However, results from these measurements are known to be greatly influenced by various parameters, including insulation aging, moisture content, and insulation geometry/volume, together with environmental condition such as temperature. In this contribution, a series of experiments have been performed under controlled laboratory conditions. The dielectric response of the oil impregnated paper, along with the degree of polymerization and moisture content, were monitored. Since dielectric parameters are geometry dependent, poles (independent of the geometry) which depends on resistivity and permittivity, were considered to assess the condition of the insulation. From the investigations performed on new and aged samples, it is shown that poles (P) can be regarded as insulation aging indicator. It is also shown that a per unit value based on the Dielectric Dissipation Factor (DDF), measured in the frequency range from 1 to 1000 Hz can be correlated to moisture content in the insulation paper.

Suggested Citation

  • Yazid Hadjadj & Fethi Meghnefi & Issouf Fofana & Hassan Ezzaidi, 2013. "On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions," Energies, MDPI, vol. 6(4), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:4:p:2204-2220:d:25090
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    Citations

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    Cited by:

    1. Yiyi Zhang & Jiefeng Liu & Hanbo Zheng & Hua Wei & Ruijin Liao, 2017. "Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model," Energies, MDPI, vol. 10(11), pages 1-17, November.
    2. Ghada Gmati & Ungarala Mohan Rao & Issouf Fofana & Patrick Picher & Oscar Arroyo-Fernàndez & Djamal Rebaine, 2023. "Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment," Energies, MDPI, vol. 16(9), pages 1-23, April.
    3. Hanbo Zheng & Jiefeng Liu & Yiyi Zhang & Yijie Ma & Yang Shen & Xiaochen Zhen & Zilai Chen, 2018. "Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data," Energies, MDPI, vol. 11(1), pages 1-17, January.
    4. Jiake Fang & Hanbo Zheng & Jiefeng Liu & Junhui Zhao & Yiyi Zhang & Ke Wang, 2018. "A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier," Energies, MDPI, vol. 11(8), pages 1-18, July.
    5. Feng Yang & Lin Du & Lijun Yang & Chao Wei & Youyuan Wang & Liman Ran & Peng He, 2018. "A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements," Energies, MDPI, vol. 11(3), pages 1-17, March.
    6. Youyuan Wang & Kun Xiao & Bijun Chen & Yuanlong Li, 2015. "Study of the Impact of Initial Moisture Content in Oil Impregnated Insulation Paper on Thermal Aging Rate of Condenser Bushing," Energies, MDPI, vol. 8(12), pages 1-13, December.
    7. Jiacheng Xie & Ming Dong & Boning Yu & Yizhuo Hu & Kaige Yang & Changjie Xia, 2020. "Physical Model for Frequency Domain Spectroscopy of Oil–Paper Insulation in a Wide Temperature Range by a Novel Analysis Approach," Energies, MDPI, vol. 13(17), pages 1-17, September.
    8. Issouf Fofana & John Sabau & Amidou Betie, 2015. "Measurement of the Relative Free Radical Content of Insulating Oils of Petroleum Origin," Energies, MDPI, vol. 8(8), pages 1-13, July.
    9. Issouf Fofana & Yazid Hadjadj, 2016. "Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(9), pages 1-26, August.
    10. Giovanni Hernandez & Abner Ramirez, 2022. "Dielectric Response Model for Transformer Insulation Using Frequency Domain Spectroscopy and Vector Fitting," Energies, MDPI, vol. 15(7), pages 1-14, April.

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