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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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) |
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Robust predictive control of grid-connected voltage for LC filter type inverter |
GUO Leilei, LI Weitao, LI Yanyan, DOU Zhifeng, JIN Nan
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College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
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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 |