An improved hybrid hill climb searching control for MPPT of wind power generation systems under fast varying wind speed

Liuying Li, Bing Han, Yaxing Ren, Joseph Brindley, Lin Jiang

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

4 Citations (Scopus)


Wind speed sensorless control methods for wind turbine maximum power point tracking are beneficial as they do not require knowledge of wind speed or wind turbine characteristics. In this paper, an advanced hybrid hill climb searching (HCS) algorithm is proposed via combining the conventional HCS and power signal feedback (PSF) control with a novel algorithm to judge the wind speed variation direction. During the period that the wind speed is judged constant, the controller optimizes the parameter of the power curve. The proposed method is verified in simulation on a permanent magnetic synchronous generator (PMSG) based wind turbine. Simulation results show that this algorithm has better performance in tracking the maximum power coefficient than the conventional algorithms, particularly in variable wind speed.

Original languageEnglish
Title of host publicationIET Conference Publications
PublisherInstitution of Engineering and Technology
ISBN (Electronic)9781785610400
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Renewable Power Generation, RPG 2015 - Beijing, China
Duration: 17 Oct 201518 Oct 2015

Publication series

NameIET Conference Publications


ConferenceInternational Conference on Renewable Power Generation, RPG 2015


  • Hill climb searching
  • Maximum power point tracking
  • Permanent magnetic synchronous generators
  • Varying wind speed

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