Reliability Model Development for Wind Turbine Drivetrain with Brushless Doubly-Fed Induction Machine as Generator

Salman Abdi, Sara Sharifzadeh, Sam Amiri

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

Brushless doubly-fed induction machines (BDFIM) are attractive generators to be used in wind turbines due to the absence of brushes and slip rings. Furthermore, the BDFIM is a medium-speed generator and hence only requires one or two-stage gearbox. This feature simplifies the gearbox system and therefore improve reliability and reduce maintenance costs for the wind turbine. Although the design and operation of the BDFIM has been widely studied in the literature, there are only few studies on reliability assessment of the machine as a wind turbine generator. This paper proposes a comprehensive reliability model for two wind turbine drivetrain configurations: One with doubly-fed induction generator, and the other when the BDFIM is employed as the generator. The model is capable of evaluating the failure rate and repair rate indexes for the both configurations. Real field survey data from a 90 MW wind farm as well as calculated reliability data are then utilised to determine the reliability index values for the two drivetrain configurations in order to compare their reliability performance.
Original languageEnglish
Title of host publication2021 22nd IEEE International Conference on Industrial Technology (ICIT)
PublisherIEEE
Pages228-233
Number of pages6
ISBN (Electronic)978-1-7281-5730-6, 978-1-7281-5729-0
DOIs
Publication statusE-pub ahead of print - 18 Jun 2021
Event22nd IEEE International Conference on Industrial Technology - Valencia, Spain
Duration: 10 Mar 202112 Mar 2021
https://ieee-icit2021.org/

Conference

Conference22nd IEEE International Conference on Industrial Technology
Abbreviated titleIEEE ICIT2021
Country/TerritorySpain
CityValencia
Period10/03/2112/03/21
Internet address

Keywords

  • brushless Doubly-fed induction machines
  • failure rate
  • mean time to failure
  • mean time to repair
  • reliability assessment
  • repair rate
  • wind turbine drivetrain

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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