基于MMC的光伏并网无源反步滑模控制策略OA
Passive Backstepping Sliding Mode Control Strategy for Photovoltaic Grid-connection Based on MMC
针对光伏并网系统在传统控制方法下存在抗干扰能力和抗谐波能力较弱以及响应速度较慢的问题,提出一种基于模块化多电平换流器(MMC)的光伏并网无源反步滑模控制策略.首先,根据MMC的数学模型以及无源控制理论设计正负序无源控制器以提高系统稳定性,接着与滑模控制结合提高系统的鲁棒性,再与反步控制结合优化系统动态响应,无源反步滑模控制策略能让无源、反步、滑模3种控制方法协同工作.最后在MATLAB/Simulink平台进行仿真,将无源反步滑模与无源滑模、滑模控制和PI控制进行分析对比.仿真结果表明:这3种控制方法协同工作显著提高系统的抗干扰能力、抗谐波能力,并且加快系统响应速度.相比其他控制策略,无源反步滑模控制策略具有更好的稳定性、更强的鲁棒性和更快的响应速度.
To address the issues of weak disturbance rejection,poor harmonic suppression capability,and slow response speed in photovoltaic(PV)grid-connected systems under traditional control methods,a passive backstepping sliding mode control strategy based on a modular multilevel converter(MMC)is proposed.First,according to the mathematical model of the MMC and the theory of passive control,the positive-and negative-sequence passive controllers are designed to enhance system stability.Then,sliding mode control is integrated to improve system robustness,and backstepping control is further introduced to optimize dynamic performance.The proposed passive backstepping sliding mode control strategy enables the coordinated operation of passive control,backstepping control,and sliding mode control.Finally,simulations are carried out on the MATLAB/Simulink platform,and the proposed method is compared with passive sliding mode control,conventional sliding mode control,and PI control.The simulation results show that the coordinated control of the three methods significantly enhances the system's disturbance rejection and harmonic suppression capabilities,while also accelerating its dynamic response.Compared with other control strategies,the proposed passive backstepping sliding mode control demonstrates superior stability,stronger robustness,and faster response speed.
周建萍;陈亮华;翟佳榆
上海电力大学自动化工程学院,上海 200090上海电力大学自动化工程学院,上海 200090上海电力大学自动化工程学院,上海 200090
信息技术与安全科学
光伏模块化多电平换流器无源控制滑模控制反步控制
photovoltaicmodular multilevel converterpassive controlsliding mode controlbackstepping control
《广东电力》 2026 (1)
46-55,10
国家自然科学基金面上项目(62473247)
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