适用于弱电网的三电平并网逆变器模型预测控制
Model predictive control of three-level grid-connected inverters for weak power grids
赵磊磊 1牟伟 1宋慧庆 2张民 3王珊1
作者信息
- 1. 烟台汽车工程职业学院,山东 烟台 265500
- 2. 国网浙江省电力有限公司东阳市供电公司,浙江 东阳 322100
- 3. 青岛理工大学,山东 青岛 266520
- 折叠
摘要
弱电网下并网逆变器的鲁棒性较差、谐波较大,而模型预测控制十分依赖系统参数,这限制了其在弱电网中的应用.针对以上问题,提出适用于NPC(二极管中点钳位)型三电平并网逆变器的数据驱动型V-MFPC(基于虚拟电压矢量的无模型预测控制)策略.首先通过不同的开关序列构造大量虚拟电压矢量,然后利用代价函数预选降低控制算法的计算负担,最后选择合适的开关序列寻优抑制中性点电压波动.仿真结果表明,所提策略能有效抑制中性点电压波动和并网电流谐波,并具有较好的参数鲁棒性.
Abstract
In weak power grids,grid-connected inverters often suffer from poor robustness and significant harmon-ics.Moreover,model predictive control(MPC)heavily relies on system parameters,limiting its applicability in weak grids.To address these issues,a data-driven model-free predictive control(MFPC)strategy base on virtual voltage vectors for neutral-point clamped(NPC)three-level grid-connected inverters is proposed.Firstly,the MFPC based on virtual voltage vectors constructs numerous virtual voltage vectors through different switching sequences.Then,a cost function is utilized to pre-select and reduce the computational burden of the control algorithm.Finally,appropriate switching sequences are chosen for optimization to suppress neutral-point voltage fluctuations.Simula-tion results demonstrate that the proposed strategy effectively mitigates neutral-point voltage fluctuations and grid current harmonics,while exhibiting robustness to parameter variations.
关键词
弱电网/NPC型三电平逆变器/数据驱动型模型预测控制/鲁棒性Key words
weak grid/NPC three-level inverter/data-driven model predictive control/robustness引用本文复制引用
基金项目
山东省自然科技基金面上项目(ZR2022ME214)
烟台汽车工程职业学院规划课题研究项目(YTQC2022ZRKX08)
出版年
2024
国家科技期刊平台
NSTL
万方数据