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低频工况下基于桥臂能量补偿的MMC模型预测控制策略

杨兴武 杨振文 王雅妮 江友华 张宇华 宋晋峰

电力系统自动化2025,Vol.49Issue(12):162-170,9.
电力系统自动化2025,Vol.49Issue(12):162-170,9.DOI:10.7500/AEPS20240902009

低频工况下基于桥臂能量补偿的MMC模型预测控制策略

Arm Energy Compensation Based Model Predictive Control Strategy for Modular Multilevel Converter Under Low-frequency Condition

杨兴武 1杨振文 1王雅妮 1江友华 2张宇华 1宋晋峰3

作者信息

  • 1. 上海电力大学电气工程学院,上海市 200090
  • 2. 上海电力大学电子与信息工程学院,上海市 200090
  • 3. 上海电气集团股份有限公司,上海市 200240
  • 折叠

摘要

Abstract

When the modular multilevel converter(MMC)is started or operated at a low frequency,the instantaneous power fluctuation of the arm causes a sharp increase in the capacitor voltage fluctuation of the submodule.To address this problem,this paper proposes an arm energy compensation based model predictive control(AEC-MPC)strategy for MMC.The proposed strategy directly suppresses capacitor voltage fluctuations from the aspect of arm energy.Firstly,the energy fluctuation rules of the arm at low frequencies are analyzed,and a power component opposite to the fluctuation in the DC current is compensated to ensure the energy balance between the upper and lower arms.Secondly,based on the arm current reference after energy compensation,a discrete-time model is established to derive the optimal arm voltage through inverse calculation.A predictive model of the internal voltage difference of the arm with a high-frequency circulating current is also developed.The secondary rolling optimization is performed within a finite set to suppress the submodule capacitor voltage fluctuations further.Simulation and experiment results validate that the proposed method has an excellent performance in suppressing capacitor voltage fluctuations under low-frequency conditions.

关键词

模块化多电平换流器/模型预测控制/低频工况/能量补偿/桥臂电流控制/均压控制/有限控制集/高频注入

Key words

modular multilevel converter(MMC)/model predictive control(MPC)/low-frequency condition/energy compensation/arm current control/voltage balance control/limited control set/high-frequency injection

引用本文复制引用

杨兴武,杨振文,王雅妮,江友华,张宇华,宋晋峰..低频工况下基于桥臂能量补偿的MMC模型预测控制策略[J].电力系统自动化,2025,49(12):162-170,9.

基金项目

上海市科技计划项目(23010501200). This work is supported by Science and Technology Commission of Shanghai Municipality(No.23010501200). (23010501200)

电力系统自动化

OA北大核心

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