Multi-Objective Genetic Algorithm Based Coordinated Second- and Third-Order Harmonic Voltage Injection in Modular Multilevel Converter

被引：13
作者：
Lin, Lei [1 ]
Li, Ang [1 ]
Xu, Chen [1 ]
Wang, Yifan [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
基金：
中国国家自然科学基金;
关键词：
Harmonic analysis; Capacitors; Modulation; Optimization; Current control; Voltage control; Genetic algorithms; Modular multilevel converter; third-order harmonic voltage injection; circulating current control; multi-objective optimization; genetic algorithm; DESIGN;
D O I：
10.1109/ACCESS.2020.2995293
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The submodule (SM) capacitor voltage ripple and the root mean square (RMS) of the arm current are related to the costs and losses of the modular multilevel converter (MMC). The optimization issues have received great attention. The second-order circulating current control and third-order harmonic voltage injection are two conventional optimization methods, but the existing research neglects their coupling effects. In this paper, these two methods are comprehensively investigated and coordinately combined. First, the various performances of MMC under multiple injections are characterized. Then, a multi-objective optimization model considering the output capability of arm voltage and the energy balance of capacitors, is proposed to reduce the SM capacitor voltage ripple and the RMS of the arm current. The amplitudes and phases of the injected second- and third-order harmonic voltages are designed coordinately by genetic algorithm. The simulation and experimental results have validated the effectiveness and feasibility of the proposed method.
引用
收藏
页码：94318 / 94329
页数：12
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