Staffordshire University logo
STORE - Staffordshire Online Repository

Detection and diagnosis of sub-module faults for modular multilevel converters

ABDELSALAM, Mahmoud, DIAB, Hatem, TENNAKOON, Sarath, GRIFFITHS, Alison and Marei, Mostafa I. (2017) Detection and diagnosis of sub-module faults for modular multilevel converters. In: 2016 51st International Universities Power Engineering Conference (UPEC), 6-9 Sept. 2016, Coimbra, Portugal.

This is the latest version of this item.

[img] Text
08113999.pdf - AUTHOR'S ACCEPTED Version (default)
Restricted to Repository staff only until 20 November 2019.
Available under License All Rights Reserved.

Download (1MB) | Request a copy

Abstract or description

This paper presents a new fault detection technique for the diagnosis and localization of sub-module faults that are developed due to failures in switching devices inside Modular Multilevel Converters (MMC). Unlike other fault detection strategies that have been proposed in literature, the proposed fault detection technique does not need extra sensors or special power circuits as it depends on an ADAptive LINEar Neuron (ADALINE) capacitor voltage estimation algorithm. The proposed fault detection technique is validated by Hardware In the Loop (HIL) real time simulations through which different case studies are simulated to test the algorithm under different operating conditions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2016 IEEE
Faculty: School of Creative Arts and Engineering > Engineering
Event Title: 2016 51st International Universities Power Engineering Conference (UPEC)
Event Location: Coimbra, Portugal
Event Dates: 6-9 Sept. 2016
Depositing User: Alison GRIFFITHS
Date Deposited: 18 Feb 2019 11:56
Last Modified: 18 Feb 2019 11:56
URI: http://eprints.staffs.ac.uk/id/eprint/5345

Available Versions of this Item

  • Detection and diagnosis of sub-module faults for modular multilevel converters. (deposited 18 Feb 2019 11:56) [Currently Displayed]

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000