• DocumentCode
    678230
  • Title

    A multi-agent approach for enhancing transient stability of smart grids with renewable energy

  • Author

    Rahman, Md Saifur ; Pota, Hemanshu R. ; Orchi, T.F.

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2013
  • fDate
    Sept. 29 2013-Oct. 3 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the use of an intelligent multi-agent system (MAS) approach to investigate the effect of a sudden change in generator load and the impact of integrating renewable energy sources (RESs) on the enhancement of the transient stability of smart power grids. In this proposed approach, an algorithm is developed through which intelligent agents properly coordinate a system´s protective relays using the critical clearing time (CCT) information to avoid loss of synchronism. An IEEE 14-bus test system is used to dynamically evaluate the on-line performance and effectiveness of the proposed approach. The simulation results show that the individual agents provide a powerful framework to successfully enhance the transient stability of the system for different fault locations under various generator load conditions and increasing penetration of wind power.
  • Keywords
    power system transient stability; relay protection; renewable energy sources; smart power grids; IEEE 14-bus test system; critical clearing time; fault locations; generator load; intelligent multi-agent system; protective relays; renewable energy sources; smart power grids; transient stability; wind power; Circuit faults; Generators; Power system stability; Stability criteria; Transient analysis; CCT; multi-agent system; protective relay; renewable energy; smart grid; transient stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (AUPEC), 2013 Australasian Universities
  • Conference_Location
    Hobart, TAS
  • Type

    conf

  • DOI
    10.1109/AUPEC.2013.6725351
  • Filename
    6725351