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High-Switching-Frequency SiC Power Conversion Systems with Improved Finite Control Set Method Prediction Control

Author

Listed:
  • Yibiao Fan

    (Physics, Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China)

  • Lixia Tong

    (Institute for Testing of Industrial Products, Jiangxi General Institute of Testing and Certification, Nanchang 330052, China)

  • Yingjie Lu

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350011, China)

  • Xiaowei Cai

    (Physics, Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China)

  • Zhihe Fu

    (Physics, Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China)

  • Xingkui Mao

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350011, China)

Abstract

With the development of power conversion systems or bidirectional grid-connected inverters characterized by high DC voltage, high efficiency, and high-power density, high-switching-frequency SiC power switches are being widely used, and these require a short computational time of control algorithm. Based on the sector judgment of a space voltage vector and the midpoint potential control balancing of a DC bus, an improved finite control set method prediction control (FCS-MPC) method was proposed for a T-type three-level PCS. This improved FCS-MPC first judges the sector of the space voltage vector and locates the position of the corresponding large sector according to phase lock information; then, it analyzes the sampled voltage of the upper and lower bus capacitors to obtain the midpoint potential situation and selects appropriate small vectors based on the midpoint potential situation. This simple improved strategy can reduce the computational complexity of traditional MPC for rolling optimization, resulting in a reduction in the vectors from 27 to 8. A SiC-based 10 kW bidirectional PCS prototype verified the improved FCS-MPC, and the computational time was reduced about by 56% in comparison to traditional FCS-MPC.

Suggested Citation

  • Yibiao Fan & Lixia Tong & Yingjie Lu & Xiaowei Cai & Zhihe Fu & Xingkui Mao, 2024. "High-Switching-Frequency SiC Power Conversion Systems with Improved Finite Control Set Method Prediction Control," Energies, MDPI, vol. 17(18), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4601-:d:1477732
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    References listed on IDEAS

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    1. Sergi Obrador Rey & Juan Alberto Romero & Lluis Trilla Romero & Àlber Filbà Martínez & Xavier Sanchez Roger & Muhammad Attique Qamar & José Luis Domínguez-García & Levon Gevorkov, 2023. "Powering the Future: A Comprehensive Review of Battery Energy Storage Systems," Energies, MDPI, vol. 16(17), pages 1-21, September.
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