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Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach

Author

Listed:
  • Arthur Cleary-Balderas

    (Faculty of Electrical Engineering, University of Michoacán, Morelia 58000, Mexico)

  • Gilberto Gonzalez-Avalos

    (Graduate Studies Division, Faculty of Mechanical Engineering, University of Michoacán, Morelia 58000, Mexico)

  • Gerardo Ayala-Jaimes

    (Faculty of Sciences of Engineering and Technology, Autonomous University of Baja California, Tijuana 21500, Mexico)

  • Aaron Padilla Garcia

    (Faculty of Electrical Engineering, University of Michoacán, Morelia 58000, Mexico)

Abstract

Power transformers are a key piece of equipment located between the points of supply and consumption of electrical energy. Due to their continuous exposure to the environment, they may be subject to failure. Thus, the modeling of transformers subject to incipient faults using a bond graph approach is presented in this study. In particular, incipient faults in the primary and secondary windings with respect to ground and a turn-to-turn fault in the primary winding are modeled. In order to develop a mathematical model capturing the incipient faults in transformers including magnetic saturation effects, a junction structure for the system applied to the bond graph model is proposed. The steady-state responses of the faulted transformer models using a bond graph approach are presented, leading to the proposal of a method for fault analysis in transformers with DC supply sources. Simulation results for the transformers with the different faults are presented, validating the results obtained according to expressions derived from the bond graph models.

Suggested Citation

  • Arthur Cleary-Balderas & Gilberto Gonzalez-Avalos & Gerardo Ayala-Jaimes & Aaron Padilla Garcia, 2025. "Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach," Energies, MDPI, vol. 18(13), pages 1-38, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3307-:d:1686231
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    References listed on IDEAS

    as
    1. Chengbo Hu & Xueqiong Zhu & Yongling Lu & Ziquan Liu & Zhen Wang & Zhengyu Liu & Kangyong Yin, 2024. "Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave," Energies, MDPI, vol. 17(24), pages 1-13, December.
    2. Balduíno César Mateus & José Torres Farinha & Mateus Mendes, 2024. "Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks," Energies, MDPI, vol. 17(2), pages 1-18, January.
    3. Nan Zhu & Ji Li & Lei Shao & Hongli Liu & Lei Ren & Lihua Zhu, 2023. "Analysis of Interturn Faults on Transformer Based on Electromagnetic-Mechanical Coupling," Energies, MDPI, vol. 16(1), pages 1-13, January.
    4. Gilberto Gonzalez Avalos & Gerardo Ayala & Noe Barrera Gallegos & Aaron Padilla Jose, 2019. "Linearization of a class of non-linear systems modelled by multibond graphs," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 25(3), pages 284-332, May.
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