Improved two-stage model predictive control for modular multilevel converters

被引：0
|
作者：
Li T. [1 ]
Yao L. [1 ]
Zhang S. [2 ]
机构：
[1] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai
[2] Xiping Power Supply Company, State Grid Henan Electric Power Company, Zhumadian
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 04期
基金：
中国国家自然科学基金;
关键词：
additional redundant submodules; capacitor voltage equalization; improved two-stage model predictive control; modular multilevel converters; total harmonic distortion rate;
D O I：
10.16081/j.epae.202308033
中图分类号：
学科分类号：
摘要：
The application of model predictive control (MPC) based on finite control set(FCS) to modular multilevel converter (MMC) usually exposes problems such as complex calculation and serious distortion of output current at AC side. A dual-vector optimization harmonic current model predictive control strategy is proposed, which is an improved two-stage model predictive control, and can reduce the calculation amount of switch state combination and further optimize the output current at AC side. The MMC discrete mathematical model is derived, and a cost function without weight factors is constructed, and the duty cycle of the two-stage switching signal in the same period is redefined by calculating the minimum area surrounded by the actual current and the reference current, and an additional redundant sub-module method is introduced to eliminate the bridge arm circulating current, and then a loser tree multi-way merge sort algorithm to balance the capacitor voltage is proposed. A three-phase 23-level MMC simulation model is built on the MATLAB/Simulink platform to verify the effectiveness of the strategy. Compared with the two-stage model predictive control, the proposed control strategy is more accurate in tracking the output current of AC side and less in harmonic distortion rate. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：96 / 104
页数：8
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