谢少军

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教授

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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Rapid Diagnostic Method for Submodule Failure in Modular Multilevel Converter

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所属单位:自动化学院

发表刊物:Dianli Xitong Zidonghue

摘要:To improve the reliability of modular multilevel converter (MMC), the submodule failure should be detected and located rapidly when fault occurs. The speed characteristics of fault diagnosis are analyzed during submodule failure in the MMC. A new rapid diagnostic method for fault is proposed. For fault detection, the improved model predictive method is used to detect the fault by comparing the difference between the predictive value and the measured value with the threshold value and then the failures are located rapidly by comparing the slopes of submodule voltage. The proposed method can locate multiple submodule failures without additional sensors and can easily be implemented with the use of a microprocessor. Finally, the proposed method has been validated by the results of an MMC simulation and experiment platform. © 2017 Automation of Electric Power Systems Press.

ISSN号:1000-1026

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发表时间:2017-09-25

合写作者:徐坤山,袁晓峰,颜晔

通讯作者:徐坤山,谢少军