Fault detection for modular multilevel converters based on sliding mode observer

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Jan 15, 2013
• Online Publication Date: Jan 23, 2013
• Publication Date: Nov 30, 2013
• Deposit Date: Jul 5, 2017
• Publicly Available Date: Jul 5, 2017
• 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
• DOI: https://doi.org/10.1109/TPEL.2013.2242093
• Keywords: Fault detection, modular multilevel converter, sliding mode observer, switching model
• Public URL: https://nottingham-repository.worktribe.com/output/719153
• Publisher URL: http://ieeexplore.ieee.org/document/6418042/
• 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