• DocumentCode
    558405
  • Title

    A comparative analysis of Optimal Power Flow techniques based on Equivalent Current Injection with conventional optimal power flow methods

  • Author

    Joshi, S.K. ; Chitaliya, G.H.

  • Author_Institution
    Dept. of Electr. Eng., M.S. Univ. of Baroda, Baroda, India
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the comparative analysis of conventional optimal power flow methods - Newton Raphson method, Fast Decoupled Load Flow method with the Optimal Power Flow Techniques based on Equivalent Current Injection. With the use of Predictor Corrector Interior Point Algorithm (PCIPA), an Equivalent Current Injection based OPF models - Equivalent Current Injection Optimal Power Flow, Decoupled Equivalent Current Injection Optimal Power Flow, and Fast Decoupled Equivalent Current Injection Optimal Power Flow - are proposed and analyzed in this paper. The algorithm has been tested on IEEE 9 bus, 14 bus and 30 bus networks. The minimization problem based on equivalent current injection has been compared with the conventional Optimal Power Flow techniques. The result shows that, the previous ones converge nicely compared to conventional methods.
  • Keywords
    Newton-Raphson method; load flow; minimisation; predictor-corrector methods; IEEE 14 bus networks; IEEE 30 bus networks; IEEE 9 bus networks; Newton Raphson method; fast decoupled equivalent current injection; fast decoupled load flow; minimization problem; optimal power flow; predictor corrector interior point algorithm; Convergence; Equations; Generators; Linear matrix inequalities; Load flow; Mathematical model; Transmission line matrix methods; Equivalent Current Injection; Load Flow; Optimal Power Flow; Predictor — Corrector Interior Point Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (AUPEC), 2011 21st Australasian
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4577-1793-2
  • Type

    conf

  • Filename
    6102535