A Modulated Model Predictive Control Based on the Vector Modulation for Tri-Port DC-DC Converter in Photovoltaic-Battery Hybrid Power Systems

Qihui Feng, Yutao Xu, Zukui Tan, C. Zhang, Dunhui Chen, Xufeng Yuan
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Abstract

The paper presents a new modulated model predictive control (MMPC) method based on the vector analysis for tri-port DC-DC Converter in photovoltaic-battery hybrid power systems. The proposed MMPC method uses three fundamental vectors to calculate the optimal switching sequence to minimize the error vector. It can significantly minimize voltage ripples while retaining the nonlinear and dynamic performance of conventional MPC methods. Simulation results on a PLECS simulation are provided to validate the proposed control strategy. Compared to the conventional MPC method, the proposed method can achieve significant current and voltage ripple reduction and excellent dynamic performance with smoothing mode switching. Meanwhile, the proposed MMPC can achieve fixed switching frequency control to simplify the filter design.1
基于矢量调制的三端口DC-DC变换器的调制模型预测控制
提出了一种基于矢量分析的三端口DC-DC变换器调制模型预测控制(MMPC)方法。提出的MMPC方法利用三个基本向量计算最优切换序列,使误差向量最小。该方法在保持传统MPC方法的非线性和动态特性的同时,显著地减小了电压波动。通过PLECS仿真验证了所提出的控制策略。与传统的MPC方法相比,该方法可以显著减小电流和电压纹波,并具有平滑模式切换的优良动态性能。同时,所提出的MMPC可以实现固定开关频率控制,简化了滤波器的设计
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