基于模式依赖的模型预测控制在多源变换器中的应用

Multi-source converters (MSCs) facilitate the integration of multiple energy sources, such as photovoltaic systems and batteries, enabling simultaneous power delivery to loads while optimizing energy utilization. However, controlling MSCs presents significant complexities due to their multi-input and multi-output configurations, dynamic operational modes, and varying load conditions. Conventional control strategies often struggle to manage these intricacies, leading to performance degradation and inefficiencies. To address these challenges, mode-dependent model predictive control (MPC) is employed, utilizing its predictive capabilities to anticipate system behavior and optimize control actions across different operating modes. This approach not only enhances the responsiveness and stability of the system but also simplifies the management of power flow between sources and loads, ultimately improving the overall efficiency of integrating renewable energy. A 500 W prototype of the MSC has been developed in the laboratory, utilizing MATLAB/Simulink and dSPACE to demonstrate the effectiveness of mode-dependent MPC compared to the conventional proportional-integral (PI) controller.