摘要
双向全桥DC-DC变换器以其重量轻、高功率密度、能量双向流动等优点成为直流微电网中不可或缺的一部分。但双向全桥DC-DC变换器在传统的单重移相控制下存在回流功率和电流应力等问题,尤其当输入电压和输出电压不匹配时,回流功率和电流应力会显著增加。针对输入电压和输出电压不匹配的情况,该文提出了一种双向全桥DC-DC变换器在双重移相下的最小回流功率控制策略。该控制策略通过对回流功率进行分段优化,得到了变换器在不同传输功率范围下的最优移相角。通过将所提控制策略和传统的双重移相控制进行对比分析,发现该文所提控制策略具有更小的回流功率和电流应力,提升了变换器的效率。最后基于所提控制策略搭建了实验样机,实验结果验证了控制策略的正确性和有效性。
The bi-directional full-bridge DC-DC converter has become an indispensable part of the DC microgrid due to its advantages of light weight,high power density,and bidirectional energy flow.However,the bi-directional full-bridge DC-DC converter has problems such as the backflow power and the current stress under the traditional single phase shift control,especially when the input voltage and output voltage do not match,the backflow power and current stress may increase significantly.Aiming at the mismatch between the input voltage and the output voltage,this paper proposes a minimum backflow power control strategy for the bi-directional full-bridge DC-DC converter under the double phase shift.The control strategy obtains the optimal phase shift angle of the converter under different transmission power ranges by optimizing the backflow power in sections.By comparing the proposed control strategy with the traditional dual phase-shift control,it is found that the control strategy proposed in this paper has smaller return power and current stress,and improves the performance of the converter.Finally,an experimental prototype is built based on the proposed control strategy,and the experimental results verify the correctness and effectiveness of the control strategy.
作者
孙标广
李静争
张迁迁
SUN Biaoguang;LI Jingzheng;ZHANG Qianqian(School of Electical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,Henan Province,China;Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment(Henan Polytechnic University),Jiaozuo 454003,Henan Province,China;Jiaozuo Light Source Power Group Co.,Ltd.,Jiaozuo 454100,Henan Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第3期1263-1272,共10页
Power System Technology
基金
国家自然科学基金项目(U1804143)。
