• DocumentCode
    2877048
  • Title

    Particle swarm optimization for OPF with consideration of FACTS devices

  • Author

    Leung, H.C. ; Lu, Dylan Dah-Chuan

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    2406
  • Lastpage
    2410
  • Abstract
    This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power flow (OPF) in power systems incorporated with flexible ac transmission system (FACTS). The above approach integrates the power flow control needs into the OPF problem to fully utilize the characteristics of FACTS devices. A versatile FACTS device, UPFC (Unified Power Flow Controller), is considered. In the solution process, PSO coupled with full AC power flow, selects the best regulation to minimize the total cost and keep the power flows within their security limits. The optimization process with PSO is presented with case study examples using IEEE modified 14-bus system to demonstrate its applicability. The results have been compared with genetic algorithm (GA) to show the feasibility and the potential of this approach.
  • Keywords
    flexible AC transmission systems; load flow control; particle swarm optimisation; power system security; FACTS devices; IEEE modified 14-bus system; PSO method; UPFC; flexible AC transmission system; full AC power flow; genetic algorithm; optimal power flow; particle swarm optimization process; power systems; unified power flow controller; Genetic algorithms; Load flow; Mathematical model; Optimization; Particle swarm optimization; Power system stability; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119686
  • Filename
    6119686