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

Qihui Feng, Meng Zhang, Yutao Xu, Chao Zhang (), Dunhui Chen and Xufeng Yuan
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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

Energies, 2025, vol. 18, issue 12, 1-19

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.

Keywords: photovoltaic-storage system; three-port DC–DC converter; modulated model predictive control; mode-switching (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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