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Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Author

Listed:
  • Jefferson Zuñiga Balanta

    (Electrical Engineering Institute (IEE), National University of San Juan (UNSJ), CONICET, Av. Libertador Gral. San Martín 1109, San Juan J5400, Argentina)

  • Sergio Rivera

    (EMC-UN-Electromagnetic Compatibility Research Group, Universidad Nacional de Colombia, Cra 45, Bogotá 111321, Colombia)

  • Andrés A. Romero

    (Electrical Engineering Institute (IEE), National University of San Juan (UNSJ), CONICET, Av. Libertador Gral. San Martín 1109, San Juan J5400, Argentina)

  • Gustavo Coria

    (Electrical Engineering Institute (IEE), National University of San Juan (UNSJ), CONICET, Av. Libertador Gral. San Martín 1109, San Juan J5400, Argentina)

Abstract

The power transformer is one of the most critical assets in power systems; therefore, planning and optimizing the economic investment for its replacement is crucial for the financial efficiency of the utility. A compilation of the main approaches reported in the literature for the replacement of oil-immersed power transformers is presented in this article. A chronological description of procedures presented in the literature for the determination of risk index, useful life evaluation, and transformer replacements is provided. Methodologies that use the theoretical basis of the degree of polymerization of the solid insulation of the units through the oxidation aging process to estimate their condition bring together the best tools currently available to achieve this objective. However, it is important and pertinent to complement these methodologies by considering the aging processes by pyrolysis and hydrolysis together and by incorporating economic analyses for appropriate replacement and management of these aged units.

Suggested Citation

  • Jefferson Zuñiga Balanta & Sergio Rivera & Andrés A. Romero & Gustavo Coria, 2023. "Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review," Energies, MDPI, vol. 16(11), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4448-:d:1160601
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    References listed on IDEAS

    as
    1. Lefeng Cheng & Tao Yu & Guoping Wang & Bo Yang & Lv Zhou, 2018. "Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study," Energies, MDPI, vol. 11(1), pages 1-26, January.
    2. Srdjan Milosavljevic & Aleksandar Janjic, 2020. "Integrated Transformer Health Estimation Methodology Based on Markov Chains and Evidential Reasoning," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, May.
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