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MMC模型预测控制稳定性分析及其高频振荡抑制

钱学威 李云丰 文涛 张佳琳 张雨杭

电力工程技术2026,Vol.45Issue(1):62-71,10.
电力工程技术2026,Vol.45Issue(1):62-71,10.DOI:10.12158/j.2096-3203.2026.01.006

MMC模型预测控制稳定性分析及其高频振荡抑制

Stability analysis and high frequency resonance suppression of MMC model predictive control

钱学威 1李云丰 1文涛 1张佳琳 1张雨杭1

作者信息

  • 1. 长沙理工大学(电网防灾减灾全国重点实验室),湖南 长沙 410114
  • 折叠

摘要

Abstract

Model predictive control(MPC)is applied in modular multilevel converter(MMC)control due to its advantages of fast response and simple modeling.However,previous research has not addressed high-frequency resonance suppression.Firstly,a mathematical model for MMC predictive control is established.By combining the dq impedance modeling method in traditional control,the Z-transform is used to achieve positive and negative sequence impedance modeling of the MPC.Secondly,the discrete transfer function of the converter station body and conduct stability analysis are derived.Under the premise of a stable ontology,the impedance method is used to reveal the mechanism of the station high-frequency resonance in model predictive control.Then,in response to the high-frequency resonance problem caused by delay,a multistep predictive control method is used to suppress it.Based on the impedance model,the optimization effect on the local high-frequency region is analyzed.Finally,the theoretical analysis shows that the converter station can compensate for the increased delay by increasing the number of predicted steps.And the effectiveness and correctness of multi-step predictive control in suppressing high-frequency resonance are proved through electromagnetic transient simulations.

关键词

模块化多电平换流器(MMC)/阻抗建模/Z变换/稳定分析/多步预测/高频振荡

Key words

modular multilevel converter(MMC)/impedance modeling/Z-transform/stability analysis/multistep predictive control/high-frequency resonance

分类

信息技术与安全科学

引用本文复制引用

钱学威,李云丰,文涛,张佳琳,张雨杭..MMC模型预测控制稳定性分析及其高频振荡抑制[J].电力工程技术,2026,45(1):62-71,10.

基金项目

国家自然科学基金资助项目(52207187,U23B20128) (52207187,U23B20128)

湖南省自然科学基金资助项目(2024JJ5021)本文得到湖湘青年英才项目(2023RC3145)、2023 年长沙理工大学研究生项目"实践创新与创业能力提升计划"(CLSJCX23063)资助,谨此致谢! (2024JJ5021)

电力工程技术

2096-3203

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