Using improved power electronics modeling and turbine control to improve wind turbine reliability

Ting Lei, Mike Barnes, Sandy Smith, Sung-ho Hur, Adam Stock, William E. Leithead

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Improving offshore wind turbine reliability is a key industry goal to improve the availability of this renewable energy generation source. The semiconductor devices in the wind turbine power converter are traditionally considered as the most sensitive and important components to achieve this and managing their thermomechanical stressing is vital, since this is one of their principal long-term aging mechanisms. Conventional deterministic reliability prediction methods used in industrial applications are not suitable for wind turbine applications, due to the stochastic nature of the wind speed. This paper develops an electrothermal model of the power devices, which is integrated with a wind turbine system model for the investigation of power converter thermal cycling under various operating conditions. The model has been developed to eliminate the problems of pulse width modulation switching, substantially reducing simulation time. The model is used to improve the current controller tuning method to reduce thermal stresses suffered by the converter during a grid fault. The model is finally used to design a control method to alleviate a key problem of the doubly fed induction generator—severe thermal cycling caused during operation near synchronous speed.
LanguageEnglish
Pages1043-1051
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume30
Issue number3
Early online date5 May 2015
DOIs
Publication statusPublished - 18 Aug 2015

Fingerprint

Power electronics
Wind turbines
Turbines
Power converters
Thermal cycling
Offshore wind turbines
Asynchronous generators
Semiconductor devices
Thermal stress
Pulse width modulation
Industrial applications
Tuning
Aging of materials
Availability
Controllers
Industry

Keywords

  • wind turbine power converter
  • power device reliability
  • electro-thermal modelling
  • PSCAD/EMTDC

Cite this

@article{0bfa846122124b138467c143cfdcfc5a,
title = "Using improved power electronics modeling and turbine control to improve wind turbine reliability",
abstract = "Improving offshore wind turbine reliability is a key industry goal to improve the availability of this renewable energy generation source. The semiconductor devices in the wind turbine power converter are traditionally considered as the most sensitive and important components to achieve this and managing their thermomechanical stressing is vital, since this is one of their principal long-term aging mechanisms. Conventional deterministic reliability prediction methods used in industrial applications are not suitable for wind turbine applications, due to the stochastic nature of the wind speed. This paper develops an electrothermal model of the power devices, which is integrated with a wind turbine system model for the investigation of power converter thermal cycling under various operating conditions. The model has been developed to eliminate the problems of pulse width modulation switching, substantially reducing simulation time. The model is used to improve the current controller tuning method to reduce thermal stresses suffered by the converter during a grid fault. The model is finally used to design a control method to alleviate a key problem of the doubly fed induction generator—severe thermal cycling caused during operation near synchronous speed.",
keywords = "wind turbine power converter, power device reliability, electro-thermal modelling, PSCAD/EMTDC",
author = "Ting Lei and Mike Barnes and Sandy Smith and Sung-ho Hur and Adam Stock and Leithead, {William E.}",
note = "2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works",
year = "2015",
month = "8",
day = "18",
doi = "10.1109/TEC.2015.2422792",
language = "English",
volume = "30",
pages = "1043--1051",
journal = "IEEE Transactions on Energy Conversion",
issn = "0885-8969",
number = "3",

}

Using improved power electronics modeling and turbine control to improve wind turbine reliability. / Lei, Ting; Barnes, Mike; Smith, Sandy; Hur, Sung-ho; Stock, Adam; Leithead, William E.

In: IEEE Transactions on Energy Conversion , Vol. 30, No. 3, 18.08.2015, p. 1043-1051.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Using improved power electronics modeling and turbine control to improve wind turbine reliability

AU - Lei, Ting

AU - Barnes, Mike

AU - Smith, Sandy

AU - Hur, Sung-ho

AU - Stock, Adam

AU - Leithead, William E.

N1 - 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works

PY - 2015/8/18

Y1 - 2015/8/18

N2 - Improving offshore wind turbine reliability is a key industry goal to improve the availability of this renewable energy generation source. The semiconductor devices in the wind turbine power converter are traditionally considered as the most sensitive and important components to achieve this and managing their thermomechanical stressing is vital, since this is one of their principal long-term aging mechanisms. Conventional deterministic reliability prediction methods used in industrial applications are not suitable for wind turbine applications, due to the stochastic nature of the wind speed. This paper develops an electrothermal model of the power devices, which is integrated with a wind turbine system model for the investigation of power converter thermal cycling under various operating conditions. The model has been developed to eliminate the problems of pulse width modulation switching, substantially reducing simulation time. The model is used to improve the current controller tuning method to reduce thermal stresses suffered by the converter during a grid fault. The model is finally used to design a control method to alleviate a key problem of the doubly fed induction generator—severe thermal cycling caused during operation near synchronous speed.

AB - Improving offshore wind turbine reliability is a key industry goal to improve the availability of this renewable energy generation source. The semiconductor devices in the wind turbine power converter are traditionally considered as the most sensitive and important components to achieve this and managing their thermomechanical stressing is vital, since this is one of their principal long-term aging mechanisms. Conventional deterministic reliability prediction methods used in industrial applications are not suitable for wind turbine applications, due to the stochastic nature of the wind speed. This paper develops an electrothermal model of the power devices, which is integrated with a wind turbine system model for the investigation of power converter thermal cycling under various operating conditions. The model has been developed to eliminate the problems of pulse width modulation switching, substantially reducing simulation time. The model is used to improve the current controller tuning method to reduce thermal stresses suffered by the converter during a grid fault. The model is finally used to design a control method to alleviate a key problem of the doubly fed induction generator—severe thermal cycling caused during operation near synchronous speed.

KW - wind turbine power converter

KW - power device reliability

KW - electro-thermal modelling

KW - PSCAD/EMTDC

U2 - 10.1109/TEC.2015.2422792

DO - 10.1109/TEC.2015.2422792

M3 - Article

VL - 30

SP - 1043

EP - 1051

JO - IEEE Transactions on Energy Conversion

T2 - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

SN - 0885-8969

IS - 3

ER -