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

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...

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Bibliographic Details
Published in2023 IEEE International Conference on Power Science and Technology (ICPST) pp. 503 - 507
Main Authors Feng, Qihui, Xu, Yutao, Tan, Zukui, Zhang, Chao, Chen, Dunhui, Yuan, Xufeng
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.05.2023
Subjects
Control systems
DC-DC power converters
DC/DC converter
modulated model predictive control
Modulation
Photovoltaic systems
Power system dynamics
PV storage power system
Switches
Switching frequency
vector modulation
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DOI10.1109/ICPST56889.2023.10165487

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Summary: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
DOI:10.1109/ICPST56889.2023.10165487