• DocumentCode
    3486333
  • Title

    Optimal power flow using probabilistic load model

  • Author

    Shukla, Meera ; Radman, Ghadir

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
  • fYear
    2005
  • fDate
    20-22 March 2005
  • Firstpage
    439
  • Lastpage
    442
  • Abstract
    Optimal power flow (OPF) analysis has been an area attracting lots of researchers. Much computational efforts have been exercised for the last several years to develop mathematical models and computational techniques to solve OPF problems. Conventional OPF studies are carried out considering the injections at the bus to be deterministic. This paper presents a method to compute the maximum load the system can support taking into account a probabilistic model of load. The load is modeled as a continuous variable whose probability density is bell shaped. Thus for a given range of bus injections, an optimal value of real and reactive load at each bus is computed. The results of the methodology can be of significance in optimal load shedding in deregulated power systems. The ´Solver´ in EXCEL is used as an optimization tool to demonstrate the methodology. A simple 8-bus system is used to display the results.
  • Keywords
    load flow; optimisation; power engineering computing; probability; 8-bus system; computational techniques; deregulated power systems; mathematical models; optimal power flow; optimization tool; probabilistic load model; probability density; Load flow; Load flow analysis; Load modeling; Power engineering computing; Power generation economics; Power system economics; Power system modeling; Power system planning; Power system reliability; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-8808-9
  • Type

    conf

  • DOI
    10.1109/SSST.2005.1460953
  • Filename
    1460953