Hierarchical Model Predictive Control Method Based on Finite State for Modular Multilevel Converter

Xingwu YANG; Yiming XU; Fan YANG; Tao WANG; Shuai YANG; Hua XUE

doi:10.7500/AEPS20191205003

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Hierarchical Model Predictive Control Method Based on Finite State for Modular Multilevel Converter

Application Research | 更新时间：2025-06-16

- Hierarchical Model Predictive Control Method Based on Finite State for Modular Multilevel Converter
- Automation of Electric Power Systems Vol. 44, Issue 15, Pages: 148-155(2020)
- 作者机构：
  
  上海电力大学电气工程学院，上海市 200090
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;Shanghai Science and Technology Innovation Action Plan;Shanghai Engineering Research Center of Green Energy Grid-connected Technology
- DOI：10.7500/AEPS20191205003
  CLC：
- Received：05 December 2019，
  
  Revised：2020-03-15，
  
  Published Online：15 June 2020，
  
  Published：10 August 2020
- 稿件说明：
移动端阅览
杨兴武,徐依明,杨帆等.模块化多电平换流器有限状态分层模型预测控制方法[J].电力系统自动化,2020,44(15):148-155.

YANG Xingwu,XU Yiming,YANG Fan,et al.Hierarchical Model Predictive Control Method Based on Finite State for Modular Multilevel Converter[J].Automation of Electric Power Systems,2020,44(15):148-155.
杨兴武,徐依明,杨帆等.模块化多电平换流器有限状态分层模型预测控制方法[J].电力系统自动化,2020,44(15):148-155. DOI： 10.7500/AEPS20191205003.

YANG Xingwu,XU Yiming,YANG Fan,et al.Hierarchical Model Predictive Control Method Based on Finite State for Modular Multilevel Converter[J].Automation of Electric Power Systems,2020,44(15):148-155. DOI： 10.7500/AEPS20191205003.

摘要

模型预测控制易于协同控制多个参量，在模块化多电平换流器控制中体现出显著的优势，但传统的有限状态模型预测控制方法的权重因子难以精确设计，需要依赖大量的仿真和实验测试。文中提出一种有限状态分层模型预测控制方法，通过逆向预测交流电压以及桥臂内部不平衡电压降计算上/下桥臂导通子模块数，实现交流电流控制和环流抑制。所提方法不仅省去了权重因子的繁杂设计过程，且无须循环计算所有开关状态，简化了循环预测次数，还可确保2

+1电平输出；同时，提出了一种基于预测分组排序的子模块电容电压平衡控制方法，可有效降低电压排序次数和开关频率，从而降低控制器的计算量。最后，搭建了模块化多电平换流器平台，验证了所提方法的正确性和有效性。

Abstract

Model predictive control is easy to control multiple parameters coordinately

which has significant advantages in the control of modular multilevel converter (MMC). However

the weighting factors of conventional finite-state model predictive control method are difficult to be designed accurately

which needs a large number of simulations and experimental tests. This paper proposes a hierarchical model predictive control method based on finite state. The number of inserted sub-modules of upper and lower arms is calculated through reverse prediction of AC voltage and the internal unbalanced voltage drop of arms

which achieves AC current control and circulating current suppression. In the proposed method

not only the complicated design process of weight factors is eliminated

but also all switching states need not be calculated circularly

which greatly simplifies the number of prediction cycle and can ensure output voltage levels of 2

+1. At the same time

a balance control method of sub-module capacitor voltage based on prediction group sorting is proposed

which effectively reduces the number of voltage sorting and switching frequency

thus relieving the computation burden of the controller. Finally

an MMC converter platform is built

and the correctness and effectiveness of the proposed method are verified.

关键词

Keywords

references

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