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基于光储系统双向变换器的模型预测算法研究
Research on model prediction algorithm based on bidirectional converter of PV and battery storage system
【摘要】 对于光储系统中三相交错并联Buck-Boost双向DC-DC变换器,现多采用移相PI控制算法。但传统的PI控制存在调节参数过多、三相电感电流不能均流等问题。对此,提出了一种新型模型预测控制算法,该算法在传统模型预测的基础上采用变步长的两步预测控制,并通过比较三相电感电流的大小寻找最优的开关状态。在Matlab/Simulink平台上搭建仿真模型,验证了该方法在稳定母线电压的同时,不仅减少了电压电流的纹波大小,而且实现了三相电感电流的均流。
【Abstract】 In the PV and battery storage system, the three-phase staggered and parallel Buck-Boost DC-DC converter is implemented with the phase-shifting PI control algorithm. However, the traditional PI control has problems of too many adjustment parameters and no flow uniformity of three phase inductance current. A new kind of model prediction control algorithm was proposed. On the basis of the traditional model prediction, the two-step prediction control with variable step was used to search for the optimal switch state by comparing the three-phase inductance current. The simulation model was built on the Matlab/Simulink platform to verify that this method not only reduces the ripple size of the voltage and current, but also realizes the current uniformity of the three-phase inductance current.
【Key words】 PV and battery storage system; staggering and in parallel; model prediction control; switch state;
- 【文献出处】 电源技术 ,Chinese Journal of Power Sources , 编辑部邮箱 ,2019年07期
- 【分类号】TM46
- 【被引频次】7
- 【下载频次】215