• DocumentCode
    3213150
  • Title

    Dynamic control strategy in power system based on multi-agent system

  • Author

    Ashrafi, Alireza ; Shahrtash, S.

  • Author_Institution
    Center of Excellence for Power Syst. Autom. & Oper., Iran Univ. of Sci. & Technol. (IUST), Tehran, Iran
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    Voltage instability and collapse have been continued to be the major problems in voltage control of power systems for many decades. WAMPAC infrastructures have been introduced and applied in power systems to monitor, protect and control power networks in order to improve stability margins. Also, some control structures have been used to enhance voltage stability. Newly multi-agent system theory has been used in smart grids and control of micro grids. Emerging multi-agent approach and the organization of multi-agent systems make it possible to introduce dynamic structure for control of power system. A new strategy has been proposed in this paper based on multi-agent system and employed for WAMPAC for the purpose of increasing the voltage stability margins.
  • Keywords
    control engineering computing; distributed power generation; multi-agent systems; power control; power engineering computing; power system control; voltage control; WAMPAC infrastructures; control structures; dynamic control strategy; microgrids control; multi-agent system theory; multiagent approach; power networks control; power system; power system control; power systems; smart grids; stability margins; voltage collapse; voltage control; voltage instability; voltage stability; Control systems; Multi-agent systems; Organizations; Power system stability; Sensitivity; Voltage control; Agent; Multi-Agent System; Organization; Voltage Control; WAMPAC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2013
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-3039-5
  • Type

    conf

  • DOI
    10.1109/SGC.2013.6733791
  • Filename
    6733791