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A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter

Author

Listed:
  • Qihui Feng

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

  • Meng Zhang

    (Electrical Engineering College, Guizhou University, Guiyang 550025, China)

  • Yutao Xu

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

  • Chao Zhang

    (Electrical Engineering College, Guizhou University, Guiyang 550025, China)

  • Dunhui Chen

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

  • Xufeng Yuan

    (Electrical Engineering College, Guizhou University, Guiyang 550025, China)

Abstract

As a core component of the photovoltaic-storage microgrid systems, three-port DC–DC converters have attracted significant attention in recent years. This paper proposes a multi-vector modulated model predictive control (MVM-MPC) method based on vector analysis for a non-isolated three-port DC–DC converter formed by paralleling two bidirectional DC–DC converters. The proposed modulated MPC method utilizes three basic vectors to calculate the optimal switching sequence for minimizing the error vector. It can significantly minimize voltage ripple while maintaining the nonlinear and dynamic performance characteristics of a traditional MPC. MATLAB/Simulink R2024a simulations and hardware-in-loop (HIL) experimental results demonstrate that, compared with finite control set MPC and traditional two-vector modulated MPC methods, the proposed approach achieves remarkable reductions in current ripple and voltage ripple, along with excellent dynamic performance featuring smooth mode-switching.

Suggested Citation

  • Qihui Feng & Meng Zhang & Yutao Xu & Chao Zhang & Dunhui Chen & Xufeng Yuan, 2025. "A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter," Energies, MDPI, vol. 18(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3208-:d:1682432
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