引用本文:郭磊磊,李伟韬,李琰琰,窦智峰,金楠.LC滤波型逆变器并网电压鲁棒预测控制[J].电力自动化设备,2022,42(6):
GUO Leilei,LI Weitao,LI Yanyan,DOU Zhifeng,JIN Nan.Robust predictive control of grid-connected voltage for LC filter type inverter[J].Electric Power Automation Equipment,2022,42(6):
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LC滤波型逆变器并网电压鲁棒预测控制
郭磊磊, 李伟韬, 李琰琰, 窦智峰, 金楠
郑州轻工业大学 电气信息工程学院,河南 郑州 450002
摘要:
近年来,模型预测控制被广泛应用于两电平电压源逆变器以实现并网控制。然而,常规有限控制集模型预测控制(FCS-MPC)存在参数失配时预测精度下降的问题。为此,提出一种适用于LC滤波型逆变器并网电压鲁棒预测控制的无参数FCS-MPC方法。首先分析了参数变化对常规LC滤波型逆变器并网电压预测控制的影响。然后基于超局部建模理论建立了LC滤波型并网逆变器的二阶超局部模型,并研究了2个集总扰动的计算方法。该计算方法省去了网侧电流传感器,节约了成本,并实现了无参数预测控制。实验结果表明,与常规FCS-MPC方法相比,在参数不匹配的情况下,所提无参数FCS-MPC方法仍能达到较好的模型预测控制性能,验证了所提方法的有效性。
关键词:  并网逆变器  超局部建模  集总扰动  无参数  模型预测控制
DOI:10.16081/j.epae.202204025
分类号:TM464
基金项目:国家自然科学基金资助项目(51707176, U2004166);河南省青年人才托举工程项目(2019HYTP021);河南省重点研发与推广专项(科技攻关)项目(202102210103,202102210304,212102210021)
Robust predictive control of grid-connected voltage for LC filter type inverter
GUO Leilei, LI Weitao, LI Yanyan, DOU Zhifeng, JIN Nan
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Abstract:
In recent years, model predictive control has been widely used in two-level voltage source inverters to achieve grid-connected control. However, the conventional FCS-MPC(Finite Control Set-Model Predictive Control) has the problem of decreased prediction accuracy when the parameters are mismatched. For this reason, a parameter-free FCS-MPC method for robust predictive control of grid-connected voltage for LC filter type inverter is proposed. Firstly, the influence of parameter change on the grid-connected voltage predictive control of conventional LC filter type inverters is analyzed. Then based on the ultra-local model theory, the second-order ultra-local model of the LC filter type grid-connected inverter is established, and the calculation method of two lumped disturbances is studied. The calculation method eliminates the grid-side current sensor and saves the cost, and realizes parameter-free predictive control. Finally, the experimental results show that, compared with the conventional FCS-MPC method, the proposed parameter-free FCS-MPC method has better model predictive control characteristics. In the case of parameter mismatch, parameter-free FCS-MPC can still achieve better model predictive control performance, which verifies the effectiveness of the proposed method.
Key words:  grid-connected inverter  ultra-local model  lumped disturbance  parameter-free  model predictive control

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