• DocumentCode
    2517398
  • Title

    Optimal PI Control of a Wind Energy Conversion System Using Particles Swarm

  • Author

    Sánchez, Santiago ; Bueno, Maximiliano ; Delgado, Edilson ; Giraldo, Eduardo

  • Author_Institution
    Res. Center Inst. Tecnol. Metropolitano, Medellin, Colombia
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    332
  • Lastpage
    337
  • Abstract
    In order to get the maximum power from the wind, the variable-speed turbine should run at different speed when wind speed changes.The dynamic characteristics of the control system must be properly defined and designed to achieve satisfactory generated power quality and system security, availability and reliability. Therefore great attention has to be kept in the theoretical design task, as well as in the experimental validation phase, in order to assure the correct operation of the control system both in normal and in perturbed conditions. This paper presents the design of an PI controller, the control system is trained to find the gain of the regulator by minimizing the overshoot and the tracking error. The tuning problem is solved with optimizing by particles swarm; the speed of synchronous generator is controlled in the wind turbine, the system is connected to a chopper converter represented by a variable resistive load, the turbine uses the model of rigid axis. in order to development and test the control system the model in the system coordinate of the rotor is used.
  • Keywords
    PI control; angular velocity control; machine control; optimal control; particle swarm optimisation; power generation control; synchronous generators; wind power plants; wind turbines; chopper converter; optimal PI control; overshoot error; particle swarm optimisation; synchronous generator speed control; tracking error; variable resistive load; variable speed turbine; wind energy conversion system; wind turbine; Character generation; Control systems; Pi control; Power generation; Power system reliability; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind turbines; Wind turbine; optimal control; particles swarm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
  • Conference_Location
    Cuernavaca, Morelos
  • Print_ISBN
    978-0-7695-3799-3
  • Type

    conf

  • DOI
    10.1109/CERMA.2009.41
  • Filename
    5341968