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author:

Fan, Y. (Fan, Y..) [1] | Tong, L. (Tong, L..) [2] | Lu, Y. (Lu, Y..) [3] | Cai, X. (Cai, X..) [4] | Fu, Z. (Fu, Z..) [5] | Mao, X. (Mao, X..) [6]

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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. © 2024 by the authors.

Keyword:

bidirectional power conversion system FCS-MPC SiC T-type three-level topology

Community:

  • [ 1 ] [Fan Y.]Physics, Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, China
  • [ 2 ] [Tong L.]Institute for Testing of Industrial Products, Jiangxi General Institute of Testing and Certification, Nanchang, 330052, China
  • [ 3 ] [Lu Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350011, China
  • [ 4 ] [Cai X.]Physics, Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, China
  • [ 5 ] [Fu Z.]Physics, Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, China
  • [ 6 ] [Mao X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350011, China

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Source :

Energies

ISSN: 1996-1073

Year: 2024

Issue: 18

Volume: 17

3 . 0 0 0

JCR@2023

CAS Journal Grade:4

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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