基于光储系统双向变换器的模型预测算法研究
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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。
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.
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.
引文
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[2]翟登辉,黄伟,李国栋,等.基于功率前馈的光储系统直流母线电压稳定方法研究[J].通信电源技术,2016,33(2):41-43.
[3] RIFFONNEAU Y, BACHA S, BARRUEL F, et al. Optimal power flow management for grid connected PV systems with batteries[J].IEEE Trans on Sustainable Energy, 2011, 2(3):309-320.
[4]王赫.蓄电池储能双向DC/DC变换器研究[D].哈尔滨:哈尔滨工业大学,2016:8-9.
[5]梅杨,李晓晴,黄伟超.级联式双向DC-DC变换器的模型预测控制[J].电气工程学报,2017,12(3):11-15.
[6]梅杨,陈丽莎,黄伟超,等.交错并联Buck-Boost变换器模型预测控制方法[J].电气传动,2017,47(7):32-36.
[7]兰国军,栗文义,文博,等.分布式储能在风/光/储系统中的应用研究[J].新能源发电控制技术,2014,36(5):48-50.
[8] HABIB M, LADJICI A A, BOLLIN E.Finite set MPC control of two level inverter for PV/battery grid-connected system[C]//Proceeding of the 6thInternational Conference on Systems and Control. Batna,Algeria:IEEE, 2017:7-9.