Duty-cycle Modulation Based Model Predictive Control of Modular Multilevel Converter

被引:0
|
作者
Yang X. [1 ]
Yang F. [1 ]
Xue H. [1 ]
Jiang Y. [1 ]
Bao W. [2 ]
Zhang J. [3 ]
机构
[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai
[2] East China Electric Power Test and Research Institute, Shanghai
[3] College of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
基金
中国国家自然科学基金;
关键词
Balance of capacitor voltage; Constant frequency control; Duty-cycle modulation; Fault tolerance; Model predictive control (MPC); Modular multilevel converter (MMC);
D O I
10.7500/AEPS20200925013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, model predictive control (MPC) has been widely used in modular multilevel converters (MMCs) because of its advantages such as simple principle, direct control pattern, and easy realization of multi-objective control. However, the existing MPC methods mainly have the problems such as inconstant switching frequency, unbalanced power loss of each module, and high average switching frequency. This paper proposes a duty-cycle modulation based MPC method. First, according to the control objectives of AC output current and circulating current, the discrete mathematical model of MMC is used to reversely derive reference values of difference and the sum values for the bridge arm voltage, and the reference values are directly converted to the duty cycle of the number of modules in the upper and lower bridge arms. Then, the carrier is used for modulation and combined with the proposed voltage balance method of the sub-module capacitor to achieve the constant frequency control of MMCs. The proposed method does not need to traverse the objective function and adjust the weight coefficient, the calculation amount is low and has nothing to do with the number of sub-modules, and it is easy for the method to achieve the fault tolerance of sub-modules. Finally, simulations and StarSim software-based experiments verify the effectiveness and correctness of the proposed method. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:134 / 142
页数:8
相关论文
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