• DocumentCode
    2344761
  • Title

    Control parameter optimization for a microgrid system using particle swarm optimization

  • Author

    Chung, Il-Yop ; Liu, Wenxin ; Cartes, David A. ; Schoder, Karl

  • Author_Institution
    Center for Adv. Power Syst. (CAPS), Florida State Univ., Tallahassee, FL
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    837
  • Lastpage
    842
  • Abstract
    Microgrids are new concept of electric power networks consisting of distributed generators, renewable energy sources and sensitive loads. The goal of microgrid operation is to provide reliable and high-quality electric power regardless of faults or abnormal operating conditions. This paper presents control schemes for coordination of multiple microgrid generators, especially with voltage source inverter type interface, for both grid-connected and autonomous modes. To maintain required control performance and power quality during severe conditions, excessive trial-and-error-based repeated tuning process is required. This paper proposes an effective optimal control parameter-tuning method using the particle swarm optimization (PSO) algorithm. Requirements of power quality and load following performance during the island operation are considered in the PSO tuning.
  • Keywords
    particle swarm optimisation; power distribution; power grids; power system control; control parameter optimization; distributed generators; electric power networks; microgrid system; particle swarm optimization; renewable energy sources; Control systems; Distributed power generation; Mesh generation; Particle swarm optimization; Power generation; Power quality; Power system reliability; Power systems; Renewable energy resources; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4747124
  • Filename
    4747124