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基于模型预测与残差生成器的Buck变换器并联系统性能提升控制策略

陆珩 胡长斌 罗珊娜 李学成 范辉 郝晓光 马瑞

中国电机工程学报2023,Vol.43Issue(24):9696-9710,中插27,16.
中国电机工程学报2023,Vol.43Issue(24):9696-9710,中插27,16.DOI:10.13334/j.0258-8013.pcsee.221715

基于模型预测与残差生成器的Buck变换器并联系统性能提升控制策略

Performance Improvement Control Strategies for Buck Converter Parallel Systems Based on Model Predictive Control and Residual Generators

陆珩 1胡长斌 1罗珊娜 1李学成 1范辉 2郝晓光 2马瑞2

作者信息

  • 1. 北方工业大学电气与控制工程学院,北京市 石景山区 100144
  • 2. 国网河北省电力有限公司电力科学研究院,河北省 石家庄市 050022
  • 折叠

摘要

Abstract

In DC microgrid systems,power quality issues can cause bus voltage fluctuations and affect the control performance of the system.To achieve a system performance improvement,this paper proposes a performance improvement control strategy based on model predictive control and residual generators for Buck converter parallel systems.First,a state-space model of a multi-Buck converter parallel system is developed.Secondly,the impact of power quality problems on the control performance of the system is analyzed based on droop control and current predictive control.Thirdly,based on the robust control theory,the performance improvement control structure based on the residual generator is derived.And the improvement of the current prediction control cost function and the design of the compensation controller is completed.Then,a least-squares-based parameter identification algorithm is designed for the effect of converter filter inductor and capacitor parameter variations on the control.In addition,a large-signal stability analysis of the system is carried out using mixed potential theory.Finally,experiments are designed on a PXI Target hardware-in-the-Loop simulation experiment platform to verify the effectiveness of the proposed control strategy.

关键词

直流微电网/性能提升/残差生成器/预测控制/下垂控制

Key words

DC microgrid/performance improvements/residual generator/predictive control/droop control

分类

信息技术与安全科学

引用本文复制引用

陆珩,胡长斌,罗珊娜,李学成,范辉,郝晓光,马瑞..基于模型预测与残差生成器的Buck变换器并联系统性能提升控制策略[J].中国电机工程学报,2023,43(24):9696-9710,中插27,16.

基金项目

国家重点研发计划,政府间国际科技创新合作重点专项(2021YFE0103800).National Key R&D Program of China,Key Special Projects for International Cooperation in Science and Technology Innovation between Governments(2021YFE0103800). (2021YFE0103800)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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