A direct approach to achieving maximum power conversion in wind power generation systems

  • Y. D. SONG*
  • , X. H. YIN
  • , Gary LEBBY
  • , Liguo WENG
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

2 Citations (Scopus)

Abstract

A new approach is proposed to achieve maximum wind power conversion by directly controlling wind turbine to operate along the maximum power coefficient curve (PCC). The control design is based on the so called "power coefficient dynamics". It turns out that such dynamics are highly nonlinear and strongly coupled with uncertainties due to the involvement of both rotor dynamics and actuation (pitch) dynamics. Two set of control algorithms based on smooth variable structure control and memory-based control respectively are developed to ensure high precision PCC tracking, leading to high efficient power conversion. The effectiveness of the developed control algorithms are also verified via simulation. © 2009 Springer Berlin Heidelberg.
Original languageEnglish
Title of host publicationAdvances in Neural Networks: ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
EditorsWen YU, Haibo HE, Nian ZHANG
PublisherSpringer Berlin Heidelberg
Pages1112-1121
Number of pages10
ISBN (Electronic)9783642015137
ISBN (Print)9783642015120
DOIs
Publication statusPublished - 10 Sept 2009
Externally publishedYes
Event6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
Duration: 26 May 200929 May 2009

Publication series

NameLecture Notes in Computer Science
Volume5553
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Symposium

Symposium6th International Symposium on Neural Networks, ISNN 2009
Country/TerritoryChina
CityWuhan
Period26/05/0929/05/09

Keywords

  • Maximum energy conversion
  • Memory-based control
  • Pitch angle
  • Wind power

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