引用本文: | 游云峰,李媛,肖先勇,等.单相级联准Z源逆变器有限集模型预测控制[J].电力系统保护与控制,2020,48(1):1-8.[点击复制] |
YOU Yunfeng,LI Yuan,XIAO Xianyong,et al.Finite control set-model predictive control of single-phase quasi-Z-source cascaded multilevel inverter[J].Power System Protection and Control,2020,48(1):1-8[点击复制] |
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摘要: |
以单相级联准Z源逆变器(quasi-Z-Source Cascaded Multilevel Inverter, qZS-CMI)为研究对象,以提高动态响应速度和降低开关频率为研究目标,提出一种优化有限集模型预测控制策略。首先,在分析不同工作状态对qZS-CMI状态变量的影响后,建立其离散时间模型。其次,以MPPT作为输入电流参考,根据所建立的离散时间模型,对准Z源网络的输入电流、输出电容电压、负载电流进行预测,并引入评价函数中,实现qZS-CMI系统的多变量综合协同控制。然后,将平均开关切换次数引入评价函数,优化系统的开关损耗。通过所提模型预测控制方法,无需输出电流控制环和直流侧电压控制环,降低了控制参数的调节难度,提高了系统的动态响应速度。最后,通过建立仿真模型验证了所提算法的有效性和正确性。 |
关键词: 光伏 准Z源逆变器 模型预测控制 级联多电平 多目标协同优化控制 |
DOI:10.19783/j.cnki.pspc.190111 |
投稿时间:2019-01-24修订日期:2019-05-19 |
基金项目:国家自然科学基金项目资助(51707126) |
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Finite control set-model predictive control of single-phase quasi-Z-source cascaded multilevel inverter |
YOU Yunfeng,LI Yuan,XIAO Xianyong,FANG Fan |
(School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China) |
Abstract: |
In order to improve the dynamic response speed and reduce the switching frequency of the single-phase quasi-Z-source cascaded multilevel inverter (qZS-CMI), an optimized finite set-model predictive control (FCS-MPC) strategy is proposed. Firstly, the influence of different operations on qZS-CMI state variables is analyzed to establish the discrete time model. Secondly, according to the established discrete time model and the input current reference from MPPT, the input current, output capacitor voltage and load current of the quasi-Z-source network are predicted and introduced into the cost function to achieve multi-variable comprehensive collaborative control of qZS-CMI system. Then, the average switching times are introduced into the cost function to optimize the switching loss of the system. The proposed model predictive control method can reduce the difficulty of adjusting control parameters and improve the dynamic response speed of the system without the output current control loop and the DC side voltage control loop. Finally, the effectiveness and correctness of the proposed algorithm are verified by the simulation model. This work is supported by National Natural Science Foundation of China (No.51707126). |
Key words: photovoltaic quasi-Z-source inverter model predictive control cascade multilevel multi-objective collaborative optimal control |