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InECCE2019 pp 669-679 | Cite as

Development of Maximum Power Point Tracking for Doubly-Fed Induction Generators in Wind Energy Conversion Systems

  • Duy C. HuynhEmail author
  • Khai H. Nguyen
  • Matthew W. Dunnigan
Conference paper
  • 21 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)

Abstract

Maximum power point tracking (MPPT) control is one of the essential requirements in harnessing wind power of wind energy conversion systems (WECS). The more precise the maximum power point (MPP) is determined, the more optimal the WECS is operated. Amongst MPPT algorithms, a hill-climb search (HCS) algorithm is preferred because of its simplicity however it also has few drawbacks such as the difficulty of selecting an appropriate step size, the premature convergence phenomenon and the speed-efficiency trade-off. A cuckoo search (CS) algorithm is proposed in this paper for finding out a MPP of a WECS driven by a doubly-fed induction generator (DFIG) under various wind speeds which mostly overcomes the above disadvantages. Then, the DFIG-WECS is controlled to track the MPP. This ensures that the DFIG-WECS is always operated at MPPs regardless of various wind speeds. It is realized that the proposed CS algorithm is also a population-based algorithm inspired from the breeding behavior of cuckoos but it is quite simple, powerful and especially requires less parameters to define optimal solutions than a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm. Though numerical results, the CS algorithm shows its effectiveness in finding out MPPs in the DFIG-WECS. Furthermore, the obtained results using the CS algorithm are also compared with those using the HCS and PSO algorithms. The comparison demonstrates that the convergence value and speed of the CS algorithm are always better than those of the HCS and PSO algorithms in the MPPT application in the DFIG-WECS.

Keywords

Maximum power point tracking Doubly-Fed induction generators Wind energy conversion systems 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Duy C. Huynh
    • 1
    Email author
  • Khai H. Nguyen
    • 1
  • Matthew W. Dunnigan
    • 2
  1. 1.Ho Chi Minh City University of TechnologyHo Chi Minh CityVietnam
  2. 2.Heriot-Watt UniversityEdinburghUK

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