Model predictive control for triple-active-bridge with low computational cost in microgrids

• DOI: 10.1049/icp.2024.2397
• Publication Date: 2025-01-08T14:16:27Z
• Authors: Qian Chen; Jianxiong Gao; Zheng Dong; Guoxin Chang; Dong Liang; Xijun Liu; Hongzheng Liu; Dongxin He; Usama Khaled
• Keywords: Model Predictive Control; Decoupling (probability); Microgrid; Interleaving

The triple-active-bridge (TAB) converter, renowned for its flexible power flow paths, high density, and diverse voltage levels, has garnered widespread attention in the microgrid. However, port coupling of TAB converter leads to a slow dynamic response fluctuations at different ports. Continuous control set model predictive (CCS-MPC) achieves decoupling while ensuring excellent performance compared traditional proportional-integral (PI) control. Nonetheless, CCS-MPC faces challenges solving cost functions computational complexity. A low been proposed address these issues. Interleaving computation phase-shift angles circumvents complex nonlinear equations solving, load complexity are significantly reduced preserving superior CCS-MPC. Finally, simulation results validate effectiveness strategy.