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WANG J , TANG Y, ZHANG X Y, et al.Application of a feedforward control with disturbance compensation in photovoltaic inverters[J].Journal of Henan Polytechnic University(Natural Science) ,2026,45(5):80-86.

一种带扰动补偿的前馈控制在光伏逆变器上的应用

王珺1, 汤野1, 张笑怡1, 董思同1, 李振轩2

1.国网辽宁省电力有限公司 营销服务中心，辽宁 沈阳 110004；2.北京石油化工学院 信息工程学院，北京 102617

摘要: 目的 为了增强控制器的稳定性，减轻控制器参数整定的繁琐性，针对光伏逆变器设计带有扰动补偿的逆变器前馈控制方案。  方法在保持前馈控制稳定特性的基础上，利用自抗扰控制中的扩张状态观测器工具对被控对象的内部不确定和外部扰动进行估计，并对其进行补偿，实现被控对象的去扰动化，从而增强前馈控制的自我调节能力和抗扰动性能。利用逆变器输出期望为定值的特点，设计基本前馈控制量，输入去扰后的标准型系统进行控制。  结果通过前馈量的输入，能够降低观测器的估算负担，在前馈控制和低带宽观测器共同作用下，既能保证良好的动态性能，又避免了控制系统发生振荡问题。  结论本文所提方法在估计和补偿作用下，能够使逆变器输出电压平稳、波形光滑，控制系统能够实现快速应对被控对象变化以及外部扰动，体现出较好的瞬态特性及抗扰动能力。MATLAB/Simulink仿真实验也验证了所提控制方法的有效性。

关键词:扰动补偿;前馈控制;逆变器;扩张状态观测器;数据驱动

doi:10.16186/j.cnki.1673-9787.2025100048

基金项目:国家自然科学基金资助项目（62273028）；北京石油化工学院致远科研基金资助项目（2026004）；工业控制技术全国重点实验室开放课题资助项目（ICT2026B105）；

收稿日期:2025/10/23

修回日期:2025/12/28

出版日期:2026-07-24

Application of a feedforward control with disturbance compensation in photovoltaic inverters

Wang Jun1, Tang Ye1, Zhang Xiaoyi1, Dong Sitong1, Li Zhenxuan2

1.Marketing Service Center， State Grid Liaoning Electric Power Supply Co.， Ltd.， Shenyang  110004， Liaoning， China；2.School of Information Engineering， Beijing Institute of Petrochemical Technology， Beijing  102617， China

Abstract: Objectives In order to enhance the stability of the controller and reduce the complexity of controller parameter tuning， an inverter feedforward control scheme with disturbance compensation for photovoltaic inverters was proposed.  Methods On the basis of maintaining the stable characteristics of feedforward control， the extended state observer （ESO） in active disturbance rejection control （ADRC） was used to estimate and compensate for the internal uncertainties and external disturbances of the controlled object， achieving disturbance reduction and enhancing the self-adjustment ability and disturbance resistance performance of feedforward control. A basic feedforward control variable was designed by using the characteristic that the inverter output expectation was a constant value， and send it to the standard system after disturbance removal was sent for control.  Results By inputting feedforward variables， the estimation burden of the observer can be reduced. Under the joint action of feedforward control and low bandwidth observer， good dynamic performance can be ensured while avoiding oscillation problems in the control system.  Conclusions The method proposed in this article can make the inverter output voltage stable and waveform smooth under estimation and compensation， and the control system can quickly respond to changes in the controlled object and external disturbances， demonstrating good transient characteristics and disturbance resistance. Finally， the effectiveness of the proposed control method was verified through MATLAB/Simulink simulation.

Key words:disturbance compensation;feedforward control;inverter;extended state observer;data-driven