SubModule failure detection methods for the modular multilevel converter

Qichen Yang, Jiangchao Qin, Maryam Saeedifard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The modular multilevel converter (MMC) has become one of the most promising converter topologies for medium/high-power applications. As the MMC is structured based upon stacking up of a number of series-connected identical SubModules (SMs), to improve its fault tolerance and reliability, SM failure detection and location is of significant importance. In this paper, two SM-failure detection and location methods are proposed, i.e., a clustering algorithm (CA)-based method and a calculated capacitance (CC)-based method. In the proposed CA-based method, a pattern recognition-based fault diagnosis approach is developed, which employs the clustering algorithm to detect and locate the faulty SMs with open-switch failures through identifying the pattern of two-dimensional trajectories of the SM characteristic variables. The proposed CC-based method is based on calculation and comparison of a physical component parameter, i.e., the nominal SM capacitance, and is capable of failure detection, location, and classification within one stage. Performance of the proposed failure detection methods for an MMC system is evaluated based on time-domain simulation studies in the PSCAD/EMTDC software environment. The reported study results demonstrate the capabilities of the two proposed methods in detecting and locating any SM failure under various conditions accurately and efficiently.

Original languageEnglish (US)
Title of host publication2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3331-3337
Number of pages7
ISBN (Print)9781467371506
DOIs
StatePublished - Oct 27 2015
Event7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada
Duration: Sep 20 2015Sep 24 2015

Other

Other7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
CountryCanada
CityMontreal
Period9/20/159/24/15

Fingerprint

Clustering algorithms
Capacitance
Fault tolerance
Pattern recognition
Failure analysis
Switches
Trajectories
Topology

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Yang, Q., Qin, J., & Saeedifard, M. (2015). SubModule failure detection methods for the modular multilevel converter. In 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015 (pp. 3331-3337). [7310130] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2015.7310130

SubModule failure detection methods for the modular multilevel converter. / Yang, Qichen; Qin, Jiangchao; Saeedifard, Maryam.

2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3331-3337 7310130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, Q, Qin, J & Saeedifard, M 2015, SubModule failure detection methods for the modular multilevel converter. in 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015., 7310130, Institute of Electrical and Electronics Engineers Inc., pp. 3331-3337, 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015, Montreal, Canada, 9/20/15. https://doi.org/10.1109/ECCE.2015.7310130
Yang Q, Qin J, Saeedifard M. SubModule failure detection methods for the modular multilevel converter. In 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3331-3337. 7310130 https://doi.org/10.1109/ECCE.2015.7310130
Yang, Qichen ; Qin, Jiangchao ; Saeedifard, Maryam. / SubModule failure detection methods for the modular multilevel converter. 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 3331-3337
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