南方电网技术2024，Vol.18Issue(3)：45-55,11.DOI:10.13648/j.cnki.issn1674-0629.2024.03.005
MMMC两侧电流基于Lyapunov函数的控制策略
Lyapunov Function Based Control Strategy for Bilateral Currents of Modular Multilevel Matrix Converter
摘要
Abstract
Fractional frequency transmission system(FFTS)is an offshore wind power energy transmission scheme,the AC/AC converter is the most important equipment in FFTS system,and modular multilevel matrix converter(MMMC)is an AC/AC converter with high-voltage and high-power.For the current control of MMMC input side and output side,the traditional proportional integral(PI)control is generally used,which has many control parameters and unsatisfactory control effect,while Lyapunov function control strategy is superior to PI control in the number of controllers,control complexity and control effect.Therefore,the Lyapunov control strategy of MMMC currents on input side and output side is proposed.According to the topology of MMMC,the current decoupling models of MMMC input side and output side are derived,and combined with Lyapunov control theory,the current mathematical model of MMMC input side and output side Lyapunov function control is established ultimately,and the global asymptotic stability of the proposed Lyapunov control is proved,the imprecision of Lyapunov function control and the parameter selection of Lyapunov control is discussed.Finally,the proposed control strategy and the traditional control strategy are applied to current control of MMMC input side and output side on MATLAB respectively to conduct experimental comparison under different working conditions,and the simulation results verify the correctness and superiority of the proposed Lyapunov control method.关键词
海上风电/模块化多电平矩阵变换器/输入输出两侧电流/Lyapunov函数控制/PI控制Key words
offshore wind power/modular multilevel matrix converter/currents on input side and output side/Lyapunov function control/PI control分类
动力与电气工程引用本文复制引用
余冰,程尹曼,程启明,赖宇生..MMMC两侧电流基于Lyapunov函数的控制策略[J].南方电网技术,2024,18(3):45-55,11.基金项目
国家自然科学基金资助项目(62303301) （62303301）
上海市电站自动化技术重点实验室资助项目(13DZ2273800). Supported by the National Natural Science Foundation of China(62303301) （13DZ2273800）
the Funding Project of Shanghai Key Laboratory Power Station Automation Technology Laboratory(13DZ2273800). （13DZ2273800）
