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基于解耦模型预测控制的三相交错并联三电平DC-DC变换器均流控制策略

孙曙光 徐永海 袁敞 宋昕一 陈怡薇

电力系统保护与控制2025,Vol.53Issue(14):13-26,14.
电力系统保护与控制2025,Vol.53Issue(14):13-26,14.DOI:10.19783/j.cnki.pspc.240753

基于解耦模型预测控制的三相交错并联三电平DC-DC变换器均流控制策略

Current sharing control strategy for three-phase interleaved three-level DC-DC converters based on decoupled model predictive control

孙曙光 1徐永海 1袁敞 1宋昕一 1陈怡薇1

作者信息

  • 1. 华北电力大学电气与电子工程学院,北京 102206
  • 折叠

摘要

Abstract

A current sharing control strategy based on decoupled model predictive control(MPC)is proposed to address the issue of unbalanced phase current in three-phase interleaved parallel three-level DC-DC converters caused by parameter mismatches.Based on the topological equivalence of the converter using a virtual voltage source,the average state equation of the converter is established.An extended state observer is introduced to compensate for the coupling disturbance in the inter-phase current differences.Based on the decoupled nature of the control loops,a decoupled MPC approach with indirect control variables and normalized cost function is proposed.The proposed current sharing control strategy can take into account the control objectives of input voltage sharing and average output current tracking while realizing the inter-phase current sharing of the converter through independent optimization of multiple control links.Furthermore,the reduced-order equivalence of the decoupled inner current loop simplifies the design of the outer voltage loop control parameters.Finally,the effectiveness of the proposed current sharing control strategy is verified through experiments.

关键词

三相交错并联三电平DC-DC变换器/均流/扩张状态观测器/解耦模型预测控制/降阶等效

Key words

three-phase interleaved parallel three-level DC-DC converter/current sharing/extended state observer/decoupled model predictive control/reduced-order equivalence

引用本文复制引用

孙曙光,徐永海,袁敞,宋昕一,陈怡薇..基于解耦模型预测控制的三相交错并联三电平DC-DC变换器均流控制策略[J].电力系统保护与控制,2025,53(14):13-26,14.

基金项目

This work is supported by the National Key Research and Development Program of China(No.2021YFB2601403). 国家重点研发计划项目资助(2021YFB2601403) (No.2021YFB2601403)

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