Title :
Fault Detection and Localization Method for Modular Multilevel Converters
Author :
Fujin Deng ; Zhe Chen ; Khan, Mohammad Rezwan ; Rongwu Zhu
Author_Institution :
Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
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 which 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 SM 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.
Keywords :
CAD; Kalman filters; computational complexity; fault diagnosis; power convertors; power engineering computing; power supply quality; reliability; EMTDC tool; Kalman filter; MMC; PSCAD tool; computational complexity; computational intensity; failure characteristics; fault detection method; fault localization method; high power quality; modular multilevel converters; power electronic submodules; real-time digital signal controller; Capacitors; Converters; Current measurement; Fault detection; Noise; Reliability; Switches; Fault detection; Kalman filter; fault localization; modular multilevel converters;
Journal_Title :
Power Electronics, IEEE Transactions on
DOI :
10.1109/TPEL.2014.2348194