Small Signal Model for Very-Large-Scale Multi-Active-Bridge Differential Power Processing (MAB-DPP) Architecture

Differential power processing (DPP) is applicable to a wide range of applications. This paper systematically investigates the small signal model of very-large-scale multi-active-bridge differential power processing (MAB-DPP) architecture. The proposed small signal model captures the impact of power losses and provides an accurate and comprehensive understanding about the dynamics of the MAB-DPP converter. The model is compact and highly scalable to very-large-scale MAB-DPP systems. The phase-to-voltage transfer function of a MAB-DPP architecture with an arbitrary number of ports was derived and validated by both SPICE simulations and experimental results. This paper also developed a distributed voltage control strategy, namely distributed phase-shift (DPS) control, which offers high scalability with low computational cost. A 10-port MAB-DPP prototype which can support hot-swapping with a significant step load transient was built and tested to verify the effectiveness of the proposed small signal model and the control strategy.