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基于电容电流状态估计的MMC多管开路故障诊断方法

杨兴武 王江 孟致丞 王雅妮 鲍伟 符杨 黄华

中国电机工程学报2023,Vol.43Issue(23):9297-9309,13.
中国电机工程学报2023,Vol.43Issue(23):9297-9309,13.DOI:10.13334/j.0258-8013.pcsee.221738

基于电容电流状态估计的MMC多管开路故障诊断方法

MMC Multiple IGBT Open-circuit Fault Diagnosis Method Based on Capacitor Current State Estimation

杨兴武 1王江 1孟致丞 1王雅妮 1鲍伟 2符杨 1黄华2

作者信息

  • 1. 上海电力大学电气工程学院,上海市 杨浦区 200090
  • 2. 华东电力试验研究院有限公司,上海市 虹口区 200437
  • 折叠

摘要

Abstract

At present,the fault location method of modular multilevel converter(MMC)has many problems,such as difficult fault threshold selection,complicated calculation process and extra detection link.In order to solve the above problems,this paper proposes the error between the theoretical and actual values of submodule capacitance current as a new fault diagnosis feature based on the comparison analysis between the actual and theoretical paths of sub-module capacitance current under the fault state.A model-free and robust least square support vector machine(LSSVM)network is used as a new fault location scheme to realize the fast location of submodule multi-tube open-circuit faults.The proposed method can estimate the current value of a submodule from its capacitance voltage without adding additional current sensors by establishing the submodule capacitance current estimation equation based on the first-order Euler approximation principle.Compared with existing capacitor voltage-based fault signatures,this feature can quickly reflect submodule fault conditions when the capacitor voltage has not deviated significantly from normal values.Finally,the correctness and effectiveness of the proposed fault location strategy are verified by using Simulink simulation and StarSim hardware-in-the-loop experimental platform.

关键词

模块化多电平换流器/故障诊断/开路故障/最小二乘支持向量机

Key words

modular multilevel converter(MMC)/fault diagnosis/open-circuit/least square support vector machine(LSSVM)

分类

信息技术与安全科学

引用本文复制引用

杨兴武,王江,孟致丞,王雅妮,鲍伟,符杨,黄华..基于电容电流状态估计的MMC多管开路故障诊断方法[J].中国电机工程学报,2023,43(23):9297-9309,13.

基金项目

上海市科技创新行动计划项目(19DZ1205402) (19DZ1205402)

上海市科技计划项目(23010501200).Projected Supported by Shanghai Science and Technology Innovation Action Plan Project(19DZ1205402) (23010501200)

Shanghai Science and Technology Plan Project(23010501200). (23010501200)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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