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Fault detection for modular multilevel converters based on sliding mode observer

Shao, Shuai; Wheeler, Patrick; Clare, Jon C.; Watson, Alan James

Authors

Shuai Shao eexss21@nottingham.ac.uk

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JON CLARE jon.clare@nottingham.ac.uk
Professor of Power Electronics



Abstract

This letter presents a fault detection method for modular multilevel converters (MMC) which is capable of lo¬cating a faulty semiconductor switching device in the circuit. The proposed fault detection method is based on a sliding mode observer (SMO) and a switching model of a half-bridge, the approach taken is to conjecture the location of fault, modify the SMO accordingly and then compare the observed and measured states to verify, or otherwise, the assumption. This technique requires no additional measurement elements and can easily be implemented in a DSP or micro-controller. The operation and robustness of the fault detection technique are confirmed by simulation results for the fault condition of a semiconductor switching device appearing as an open-circuit.

Journal Article Type Article
Publication Date Nov 30, 2013
Journal IEEE Transactions on Power Electronics
Print ISSN 0885-8993
Electronic ISSN 0885-8993
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 28
Issue 11
APA6 Citation Shao, S., Wheeler, P., Clare, J. C., & Watson, A. J. (2013). Fault detection for modular multilevel converters based on sliding mode observer. IEEE Transactions on Power Electronics, 28(11), https://doi.org/10.1109/TPEL.2013.2242093
DOI https://doi.org/10.1109/TPEL.2013.2242093
Keywords Fault detection, modular multilevel converter, sliding mode observer, switching model
Publisher URL http://ieeexplore.ieee.org/document/6418042/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information (c)2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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