Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters

Lilia Sidhom, Ines Chihi, Mohamed Trabelsi, Haitham Abu-Rub

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

Abstract

The deployment of a high-reliability Multilevel Inverter (MLI) able to operate effectively and unremittingly in case of partial failure is indispensable in high performance and high power grid-connected PV systems. Among the well-known MLI topologies, the Cascaded H-Bridge (CHB) inverter is characterized by its high modularity and fault-tolerance features due to the high flexibility in generating the output voltage levels. However, the effective operation of such topology needs a tight supervision to detect the failure and provide uninterrupted power supply. This paper proposes a novel open-circuit failure detection strategy based on a 1st-Order Dynamic Gains Robust Differentiator (DGRD) for 3-phase 9-cell CHB inverter. The proposed scheme estimates the current 1 st derivative in order to easily detect the amplified faults. This technique is considered as an improved version of the sliding mode based Levant derivative approach, where a constant gain is used instead. The presented simulation results confirm the accuracy of the proposed technique in real-time fault detection (distinction between noises and faults to avoid false alarms and misdetection).

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3883-3888
Number of pages6
ISBN (Electronic)9781509066841
DOIs
Publication statusPublished - 26 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 20 Oct 201823 Oct 2018

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
CountryUnited States
CityWashington
Period20/10/1823/10/18

Fingerprint

Inverter
Fault Detection
Fault detection
Topology
Derivatives
Fault tolerance
Fault
Failure Detection
Derivative
Networks (circuits)
False Alarm
Electric potential
Sliding Mode
Modularity
Fault Tolerance
High Power
High Performance
Flexibility
Voltage
Grid

Keywords

  • Dynamic Gains
  • Fault Detection
  • Grid Connection
  • Multilevel Inverter
  • Robust Differentiator

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Sidhom, L., Chihi, I., Trabelsi, M., & Abu-Rub, H. (2018). Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (pp. 3883-3888). [8591481] (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2018.8591481

Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters. / Sidhom, Lilia; Chihi, Ines; Trabelsi, Mohamed; Abu-Rub, Haitham.

Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2018. p. 3883-3888 8591481 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).

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

Sidhom, L, Chihi, I, Trabelsi, M & Abu-Rub, H 2018, Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters. in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society., 8591481, Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers Inc., pp. 3883-3888, 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington, United States, 20/10/18. https://doi.org/10.1109/IECON.2018.8591481
Sidhom L, Chihi I, Trabelsi M, Abu-Rub H. Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc. 2018. p. 3883-3888. 8591481. (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society). https://doi.org/10.1109/IECON.2018.8591481
Sidhom, Lilia ; Chihi, Ines ; Trabelsi, Mohamed ; Abu-Rub, Haitham. / Dynamic gains robust differentiator based fault detection approach for cascaded H-bridge multilevel inverters. Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 3883-3888 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).
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