Fault Detection and Localization Method for Modular Multilevel Converters

Fujin Deng, Zhe Chen, Mohammad Rezwan Khan, Rongwu Zhu

Research output: Contribution to journalJournal articleResearchpeer-review

250 Citations (Scopus)

Abstract

The modular multilevel converter (MMC) is attractive for medium- or high-power applications because of the advantages of its high modularity, availability, and high power quality. However, reliability is one of the most important issues for MMCs those are made of large number of power electronic submodules (SMs). This paper proposed an effective fault detection and localization method for MMCs. An MMC fault can be detected by comparing the measured state variables and the estimated state variables with a Kalman Filter. The fault localization is based on the failure characteristics of the SM in the MMC. The proposed method can be implemented with less computational intensity and complexity, even in case that multiple SMs faults occur in a short time interval. The proposed method is not only implemented in simulations with professional tool PSCAD/EMTDC, but also verified with a down-scale MMC prototype controlled by a real-time digital signal controller in the laboratory. The results confirm the effectiveness of the proposed method.
Original languageEnglish
JournalI E E E Transactions on Power Electronics
Volume30
Issue number5
Pages (from-to)2721 - 2732
Number of pages11
ISSN0885-8993
DOIs
Publication statusPublished - May 2015

Keywords

  • Fault detection
  • Fault localization
  • Kalman Filter
  • Modular multilevel converters (MMCs)

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