基于数据回归的光伏并网逆变器非线性特征补偿控制方法研究  

RESEARCH ON NONLINEAR FEATURE COMPENSATION CONTROL METHOD FOR PHOTOVOLTAIC GRID-CONNECTED INVERTERS BASED ON DATA REGRESSION

作　　者：李聪[1] 张琦[1,2] 梁欢 杨惠 孙向东[1] Li Cong;Zhang Qi;Liang Huan;Yang Hui;Sun Xiangdong(College of Electrical Engineering,Xi’an University of Technology,Xi’an 710048,China;Power Electronics Division,Guangzhou Shiyuan Electronic Technology Co.,Ltd.,Guangzhou 510530,China)

机构地区：[1]西安理工大学电气工程学院,西安710048 [2]广州视源电子科技股份有限公司电力电子事业部,广州510530

出　　处：《太阳能学报》2024年第12期1-9,共9页Acta Energiae Solaris Sinica

基　　金：国家重点研发计划“政府间国际科技创新合作”重点专项(2022YFE0196300);陕西省教育厅科学研究计划地方专项(23JE031);西安理工大学博士启动基金(119-451121001)。

摘　　要：针对死区等非线性特征对光伏并网逆变器电能质量的影响,该文借助数据驱动的补偿方法与传统控制相结合,研究一种并网逆变器动静态特征优化方法。首先利用重复控制器作为数据在线训练的依据,从机理上阐明数据来源和数据的有效性;其次利用近似线性回归方法获得数据模型,降低了数据驱动方法对存储空间的依赖度,保障了必要的补偿带宽,并解决了数据应用的可实现性问题;再将该模型作用于传统低阶控制器的补偿回路,使系统在具备足够稳定裕度的前提下实现良好的控制精度。数据相关性分析以及实验结果证明了该补偿方法具有可实现性和有效性。Addressing the impact of nonlinear characteristics such as dead-zones on the power quality of photovoltaic grid-connected inverters,this paper combines data-driven compensation methods with traditional control to investigate a dynamic and static characteristic optimization approach for grid-connected inverters.Firstly,a repetitive controller is utilized as the basis for online data training,elucidating the mechanism and validity of the data source.Secondly,an approximate linear regression method is employed to obtain a data model,reducing the dependence on storage space for data-driven methods,ensuring necessary compensation bandwidth,and solving the feasibility of data application.This model is then applied to the compensation loop of a traditional low-order controller,enabling the system to achieve precise control with sufficient stability margin.Data correlation analysis and experimental results demonstrate the feasibility and effectiveness of this compensation method.

关 键 词：光伏 并网逆变器 死区 非线性特征 数据驱动 在线训练 

分 类 号：TM464[电气工程—电器]