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Degree:Doctoral Degree in Engineering
School/Department:College of Automation Engineering

谢少军

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Education Level:南京航空航天大学

Paper Publications

Fast Diagnosis Method for Submodule Failures in MMCs Based on Improved Incremental Predictive Model of Arm Current
Date of Publication:2018-09-01 Hits:

Affiliation of Author(s):自动化学院
Journal:JOURNAL OF POWER ELECTRONICS
Key Words:Fault detection Fault location Modular multilevel converter (MMC) Predictive model Submodule (SM) failure
Abstract:The rapid and correct isolation of faulty submodules (SMs) is of great importance for improving the reliability of modular multilevel converters (MMCs). Therefore, a fast diagnosis method containing fault detection and fault location determination was presented in this paper. An improved incremental predictive model of arm current was proposed to detect failures, and the multi-step prediction method was used to eliminate the negative impact of disturbances. Moreover, a control method was proposed to strengthen the fault characteristics to rapidly locate faulty arms and faulty SMs by detecting the variation rate of the SM capacitor voltage. The proposed method can rapidly and easily locate faulty SMs under different load conditions without the need for additional sensors. The experimental results have validated the effectiveness of the proposed method by using a single-phase MMC with four SMs per arm.
ISSN No.:1598-2092
Translation or Not:no
Date of Publication:2018-09-01
Co-author:徐坤山
Correspondence Author:徐坤山,xsj
Date of Publication:2018-09-01