• DocumentCode
    2539760
  • Title

    Optimal allocation of dynamic VAR for enhancing stability and power quality

  • Author

    Tiwari, Ashutosh ; Ajjarapu, Venkataramana

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper introduces a method for determining optimal location and capacity of dynamic shunt reactive power (VAR) support which is needed to enhance power quality and ensure short term stability with respect to credible contingencies. In this paper, simulated annealing (SA) and trajectory optimization (TO) technique is proposed for solving mixed integer minimax trajectory optimization (MIMTO) problem. This method is tested on 3 bus system and IEEE 39 bus system with promising results.
  • Keywords
    integer programming; power supply quality; power system stability; reactive power; simulated annealing; IEEE39 bus system; dynamic shunt reactive power support; mixed integer minimax trajectory optimization problem; optimal allocation; power quality enhancement; short term stability; simulated annealing; trajectory optimization technique; Control systems; Power quality; Power system dynamics; Power system modeling; Power system security; Power system simulation; Power system stability; Power transmission lines; Reactive power; Simulated annealing; Minimax; optimal amount; optimal location; power system dynamic security; simulated annealing; trajectory optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596548
  • Filename
    4596548