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Analysis and Simulation of Fault Characteristics of Power Switch Failures in Distribution Electronic Power Transformers

Author

Listed:
  • Zixia Sang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Chengxiong Mao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Jiming Lu

    (School of Electrical & Electronic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Dan Wang

    (School of Electrical & Electronic Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

Abstract

This paper presents research on the voltage and current distortion in the input stage, isolation stage and output stage of Distribution Electronic Power transformer (D-EPT) after the open-circuit and short-circuit faults of its power switches. In this paper, the operational principles and the control methods for input stage, isolation stage and output stage of D-EPT, which work as a cascaded H-bridge rectifier, DC-DC converter and inverter, respectively, are introduced. Based on conclusions derived from the performance analysis of D-EPT after the faults, this paper comes up with the effects from its topology design and control scheme on the current and voltage distortion. According to the EPT fault characteristics, since the waveforms of relevant components heavily depend on the location of the faulty switch, it is very easy to locate the exact position of the faulty switch. Finally, the fault characteristics peculiar to D-EPT are analyzed, and further discussed with simulation on the Saber platform, as well as a fault location diagnosis algorithm.

Suggested Citation

  • Zixia Sang & Chengxiong Mao & Jiming Lu & Dan Wang, 2013. "Analysis and Simulation of Fault Characteristics of Power Switch Failures in Distribution Electronic Power Transformers," Energies, MDPI, vol. 6(8), pages 1-23, August.
  • Handle: RePEc:gam:jeners:v:6:y:2013:i:8:p:4246-4268:d:28100
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    Citations

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    Cited by:

    1. Minghui Ou & Hua Wei & Yiyi Zhang & Jiancheng Tan, 2019. "A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers," Energies, MDPI, vol. 12(6), pages 1-16, March.
    2. Hui Huang & Chengxiong Mao & Jiming Lu & Dan Wang, 2014. "Electronic Power Transformer Control Strategy in Wind Energy Conversion Systems for Low Voltage Ride-through Capability Enhancement of Directly Driven Wind Turbines with Permanent Magnet Synchronous G," Energies, MDPI, vol. 7(11), pages 1-18, November.
    3. Lefeng Cheng & Tao Yu, 2018. "Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey," Energies, MDPI, vol. 11(4), pages 1-69, April.
    4. Hongqian Wei & Youtong Zhang & Lei Yu & Mengzhu Zhang & Khaled Teffah, 2018. "A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles," Energies, MDPI, vol. 11(6), pages 1-14, June.
    5. Pawel Szczesniak, 2019. "Challenges and Design Requirements for Industrial Applications of AC/AC Power Converters without DC-Link," Energies, MDPI, vol. 12(8), pages 1-18, April.

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