Pitch Angle Control for Variable Speed Wind Turbines

Zhe Chen, Jianzhong Zhang, M Cheng, Xiaofan Fu

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

148 Citations (Scopus)
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Abstract

Pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when wind speed is above rated speed and various controlling variables may be chosen, such as wind speed, generator speed and generator power. As conventional pitch control usually use PI controller, the mathematical model of the system should be known well. A fuzzy logic pitch angle controller is developed in this paper, in which it does not need well known about the system and the mean wind speed is used to compensate the non-linear sensitivity. The fuzzy logic control strategy may have the potential when the system contains strong non-linearity, such as wind turbulence is strong, or the control objectives include fatigue loads. The design of the fuzzy logic controller and the comparisons with conversional pitch angle control strategies with various controlling variables are carried out. The simulation shows that the fuzzy logic controller can achieve better control performances than conventional pitch angle control strategies, namely lower fatigue loads, lower power peak and lower torque peak.
Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008)
Number of pages6
PublisherIEEE
Publication date2008
ISBN (Print)978-7-900-714-13-8
Publication statusPublished - 2008
EventInternational Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008) - Nanjing, China
Duration: 6 Apr 20089 Apr 2008
Conference number: 3

Conference

ConferenceInternational Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008)
Number3
Country/TerritoryChina
CityNanjing
Period06/04/200809/04/2008

Keywords

  • Blade aerodynamic
  • Fatigue load
  • Fuzzy logic control
  • Pitch angle
  • Wind turbine

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