• DocumentCode
    2316021
  • Title

    Superiority of PSO Relay Coordination Algorithm over Non-Linear Programming: A Comparison, Review and Verification

  • Author

    Vijayakumar, D. ; Nema, R.K.

  • Author_Institution
    Dept. of Electr. Eng., Maulana Azad Nat. Inst. of Technol., Bhopal
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Over Current Relays (OCRs) and Directional Over Current Relays (DOCRs) are widely used for the radial protection and ring sub transmission protection systems and for distribution systems. All previous work formulates the DOCR coordination problem either as a Linear Programming (LP) problem or as a Non Linear Programming (NLP) problem or as a Mixed Integer Non Linear Programming (MINLP) Problem or as a Mixed Integer Programming (MIP) problem using optimization techniques. In this paper, a Modified Particle Swarm Optimization (MPSO) technique is discussed, reviewed and verified for the optimal settings of DOCRs in power systems as a NLP problem. The paper also compares MPSO algorithm with General Algebraic Modeling System (GAMS). The calculation of the Time Dial Setting (TDS) and the pickup current (Ip) setting of the relays is the core of the coordination study. Recently PSO is considered as realistic and powerful solution schemes to obtain the global or quasi global optimum in optimization.
  • Keywords
    integer programming; nonlinear programming; overcurrent protection; particle swarm optimisation; power system protection; relay protection; PSO relay coordination algorithm; directional over current relays; mixed integer nonlinear programming; modified particle swarm optimization technique; optimization techniques; protective relays; time dial setting; Evolutionary computation; Linear programming; Particle swarm optimization; Power system interconnection; Power system modeling; Power system protection; Power system relaying; Power system reliability; Protective relaying; Relays; Directional over current relays; Optimization techniques; Particle swarm optimization; Power system protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745385
  • Filename
    4745385