谢少军

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招生学科专业:
电气工程 -- 【招收博士、硕士研究生】 -- 自动化学院
能源动力 -- 【招收博士、硕士研究生】 -- 自动化学院

学历:南京航空航天大学

学位:工学博士学位

所在单位:自动化学院

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Diagnosis Method for Submodule Failures in Modular Multilevel Converter Based on Incremental Predictive Model

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所属单位:自动化学院

发表刊物:Zhongguo Dianji Gongcheng Xuebao

摘要:The robustness of the fault diagnosis method based on the model was analyzed for the Modular Multilevel converters. The faults were detected by means of comparing the average value of the difference between the predictive value and the measured value with the threshold value using the incremental predictive model, and the faults were located by comparing the difference between the capacitor voltage of submodule and the average voltage of submodules with the threshold value. The incremental predictive model of the circulating current was established. In order to improve the robustness of fault detecting, correction method, multi-step prediction method and three-stage compensation method were proposed to compensate the uncertainties of the parameter and the measurement errors, and eliminate disturbances. The principle of parameter design for the fault diagnosis method was given. The experiment results using single-phase MMC prototype with four SMs per arm verify that the proposed method is characterized by strong robustness. © 2018 Chin. Soc. for Elec. Eng.

ISSN号:0258-8013

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发表时间:2018-11-05

合写作者:Xu, Kunshan

通讯作者:谢少军