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Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns

Author

Listed:
  • Zhanfeng Song

    (Department of Electrical Engineering and Automation, Tianjin University, Tianjin 30072, China
    These authors contributed equally to this work.)

  • Yanjun Tian

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
    These authors contributed equally to this work.)

  • Zhe Chen

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Yanting Hu

    (Faculty of Science and Engineering, University of Chester, Chester CH1 4BJ, UK)

Abstract

A predictive current control strategy can realize flexible regulation of three-phase grid-tied converters based on system behaviour prediction and cost function minimization. However, when the predictive current control strategy with conventional switching patterns is adopted, the predicted duration time for voltage vectors turns out to be negative in some cases, especially under the conditions of bidirectional power flows and transient situations, leading to system performance deteriorations. This paper aims to clarify the real reason for this phenomenon under bidirectional power flows, i.e. , rectifier mode and inverter mode, and, furthermore, seeks to propose effective solutions. A detailed analysis of instantaneous current variations under different conditions was conducted. An enhanced predictive current control strategy with improved switching patterns was then proposed. An experimental platform was built based on a commercial converter produced by Danfoss, and moreover, relative experiments were carried out, confirming the superiority of the proposed scheme.

Suggested Citation

  • Zhanfeng Song & Yanjun Tian & Zhe Chen & Yanting Hu, 2016. "Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns," Energies, MDPI, vol. 9(1), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:1:p:41-:d:62106
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    Citations

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    Cited by:

    1. Nan Jin & Leilei Guo & Gang Yao, 2017. "Model Predictive Direct Power Control for Nonredundant Fault Tolerant Grid-Connected Bidirectional Voltage Source Converter," Energies, MDPI, vol. 10(8), pages 1-16, August.
    2. Shiyang Hu & Guorong Liu & Nan Jin & Leilei Guo, 2018. "Constant-Frequency Model Predictive Direct Power Control for Fault-Tolerant Bidirectional Voltage-Source Converter with Balanced Capacitor Voltage," Energies, MDPI, vol. 11(10), pages 1-20, October.
    3. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    4. Sultana, W. Razia & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yamuna, S. & Venkatesh, D., 2017. "A review on state of art development of model predictive control for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 391-406.
    5. Jiefeng Hu & Ka Wai Eric Cheng, 2017. "Predictive Control of Power Electronics Converters in Renewable Energy Systems," Energies, MDPI, vol. 10(4), pages 1-14, April.

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