Iosifidis, Nikolaos, Zhong, Yanghao, Hu, Borong, Chen, Biyun, Ran, Li, Lakshminarayana, Subhash, Jia, Chunjiang, McKeever, Paul and Ng, Chong (2021) Reliability of wind turbine power modules using high-resolution wind data reconstruction : a digital twin concept. In: 2021 IEEE Energy Conversion Congress and Exposition (ECCE), Vancouver, BC, Canada, 10-14 Oct 2021. Published in: 2021 IEEE Energy Conversion Congress and Exposition (ECCE) pp. 3630-3637. ISBN 978-1-7281-5135-9. doi:10.1109/ECCE47101.2021.9595095 ISSN 2329-3721.

Preview

PDF WRAP-Reliability-of-wind-turbine-power-modules-using-high-resolution-wind-data-reconstruction-Iosifidis-2022.pdf - Accepted Version - Requires a PDF viewer. Download (782Kb) | Preview

Request Changes to record.

Abstract

This study introduces a Digital Twin (DT) framework for the reliability assessment of wind turbine power modules. Its importance is demonstrated by examining the effect of wind turbulence on the electrothermal behaviour and lifetime of machine side power electronic converters and semiconductor devices of direct-drive wind turbines. To this end, an electrothermal model embedded in a turbine model is established, which tracks the changes in wind speed. Using real-world, 1-sec wind speed data, the real device junction temperature profiles and the fatigue experienced by the semiconductor devices are examined for two 10-min periods. Then, these metrics are compared with the corresponding metrics of the same 10-min periods when the wind speed is assumed constant and equal to the 10-min average value, which is often used in traditional device reliability assessment methods using SCADA data. Based on simulation results, the fatigue experienced by the semiconductor devices due to sudden fluctuations of the wind is found to be significantly higher than the fatigue estimated by traditional reliability assessment methods using the SCADA data. Two methods that attempt to reconstruct the wind spectrum (Random Walk Metropolis-Hastings algorithm) and compress the wind speed data (Discrete Wavelet Transform) are proposed. These and/or other similar methods may be integrated into the DT interface to address the issue of the large volume of data required to be stored in DTs.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title:	2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Publisher:	IEEE
ISBN:	978-1-7281-5135-9
ISSN:	2329-3721
Book Title:	2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Official Date:	16 November 2021
Dates:	Date Event 16 November 2021 Published 30 April 2021 Accepted
Page Range:	pp. 3630-3637
DOI:	10.1109/ECCE47101.2021.9595095
Status:	Peer Reviewed
Publication Status:	Published
Reuse Statement (publisher, data, author rights):	© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	29 March 2022
Date of first compliant Open Access:	29 March 2022
Conference Paper Type:	Paper
Title of Event:	2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Type of Event:	Conference
Location of Event:	Vancouver, BC, Canada
Date(s) of Event:	10-14 Oct 2021

Request changes or add full text files to a record

Repository staff actions (login required)

View Item

Downloads