• DocumentCode
    1633306
  • Title

    Development of PSO based control algorithms for maximizing wind energy penetration

  • Author

    Sreedharan, Sasidharan ; Ongsakul, Weerakorn ; Singh, J.G. ; Wartana, I. Made ; Buayai, Kittavit

  • Author_Institution
    Sch. of Environ. Resources & Dev., Asian Inst. of Technol., Bangkok, Thailand
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, new methodologies have been proposed for attaining the maximum safe instantaneous wind energy penetration. Various types of control algorithms namely, load increase, generation displacement and the combined load increase and generation displacement have been developed to obtain the maximum penetration. Wind Turbine used is DFIG and dynamic model of the system by considering Turbine governor (TG), Automatic voltage regulator (AVR) have been considered. Grid stability at high penetration level is obtained by conducting eigenvalue analysis of the complete power system grid. All the control algorithms are powered by Particle Swarm Optimization Algorithm (PSO) which adjusts the grid parameters for achieving maximum wind penetration. The developed algorithms have been tested with 25-bus, 220 kV practical system. The results have shown the maximum safe instantaneous wind energy penetration limit possible by various methodologies proposed.
  • Keywords
    asynchronous generators; eigenvalues and eigenfunctions; particle swarm optimisation; power generation control; power grids; power system stability; wind power plants; wind turbines; DFIG; PSO based control algorithms; automatic voltage regulator; eigenvalue analysis; generation displacement; grid stability; particle swarm optimization algorithm; power system grid; turbine governor; voltage 220 kV; wind energy penetration; wind turbine; Eigenvalues and eigenfunctions; Generators; Heuristic algorithms; Power system stability; Wind farms; Wind power generation; Wind turbines; Particle Swarm Optimization; Wind Penetration; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039671
  • Filename
    6039671