• DocumentCode
    3777519
  • Title

    Research on control strategy of maximum power point tracking of doubly-fed asynchronous wind generator

  • Author

    Yunliang Wang; Yuhao Liu

  • Author_Institution
    Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    1520
  • Lastpage
    1523
  • Abstract
    In order to maximize the use of wind power, different techniques have been developed to track the maximum power point. Because the rotor speed of doubly-fed variable speed and constant frequency wind power generating system is adjustable, the maximum wind power can be gotten by adjusting the rotor speed of the induction generator. The power characteristic of wind turbine was first introduced in this paper, and two types of existing maximum wind power track algorithms are advanced, focusing on analysis of the variable step hill climbing algorithm. Then taking a doubly-fed generator as example, the paper applied genetic algorithm in tracking maximum wind energy. Finally, MATLAB software was used to simulate the three algorithms, and the results proved that the genetic algorithm has feasibility, higher accuracy and less tracking time.
  • Keywords
    "Wind power generation","Genetic algorithms","Wind turbines","Wind speed","Generators","Wind energy","Maximum power point trackers"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7491018
  • Filename
    7491018