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直流偏磁下磁控电抗器铁芯矢量电磁振动特性

贲彤 侯露倩 陈龙 张平 闫荣格

高电压技术2024,Vol.50Issue(5):2270-2281,封3,13.
高电压技术2024,Vol.50Issue(5):2270-2281,封3,13.DOI:10.13336/j.1003-6520.hve.20221165

直流偏磁下磁控电抗器铁芯矢量电磁振动特性

Vector Electromagnetic Vibration Characteristics of Magnetically Controlled Reactor Core Under DC Bias

贲彤 1侯露倩 1陈龙 2张平 1闫荣格3

作者信息

  • 1. 三峡大学电气与新能源学院,宜昌 443002
  • 2. 三峡大学电气与新能源学院,宜昌 443002||湖北省微电网工程技术研究中心(三峡大学),宜昌 443002
  • 3. 省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学),天津 300130
  • 折叠

摘要

Abstract

Under the co-excitation working mode of AC and DC,the magnetization and electromagnetic vibration char-acteristics of magnetically controlled reactor(MCR)will change greatly under the influence of DC bias.To accurately simulate the magnetization and vibration characteristics of materials under DC bias,this paper is based on the vector magnetostrictive inverse model and the magnetic characteristic measurement curves of the electrical steel sheet,and the velocity-controlled particle swarm optimization(VCPSO)algorithm is used to optimize the model parameters.Moreover,the magnetization and magnetostriction characteristics of the steel sheet are analyzed,and the experimental and simulation curves are compared to verify the accuracy of the magnetization characteristics simulation.Secondly,by combining the vector magnetostriction inverse model with MCR finite element model,the vector electromagnetic vibration characteris-tics of MCR core under different DC bias are simulated,and the harmonic components of MCR core's displacement waveform are analyzed.Finally,the MCR vibration test system is built to verify the accuracy of the simulation model.The research results can provide a reference for the related research on the core vibration of MCR.

关键词

磁控电抗器/直流偏磁/磁致伸缩/电磁振动/Jiles-Atherton磁滞模型

Key words

magnetically controlled reactor/DC bias/magnetostriction/electromagnetic vibration/Jiles-Atherton hys-teresis model

引用本文复制引用

贲彤,侯露倩,陈龙,张平,闫荣格..直流偏磁下磁控电抗器铁芯矢量电磁振动特性[J].高电压技术,2024,50(5):2270-2281,封3,13.

基金项目

国家自然科学基金(52007102 ()

52207012) ()

省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学)开放课题基金(EERIKF2021015).Project supported by National Natural Science Foundation of China(52007102,52207012),State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology(EE-RIKF2021015). (河北工业大学)

高电压技术

OA北大核心CSTPCD

1003-6520

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