• DocumentCode
    2301795
  • Title

    Probabilistic distribution factors assessment using OptimalPowerPrice Mathematica software, case study: Test 25 buses test power system

  • Author

    Pop, O. ; Paunescu, D. ; Kilyeni, St ; Nemes, M. ; Kilyeni, A. ; Barbulescu, C.

  • Author_Institution
    Electr. Power Eng. Dept., Politeh. Univ., Timisoara, Romania
  • fYear
    2009
  • fDate
    28-29 May 2009
  • Firstpage
    453
  • Lastpage
    458
  • Abstract
    Competition within the electric power systems has proven the importance of distribution factors assessment. In addition, load characteristic is unpredictable, leading to a diversity of supply paths. As a result, probabilistic power flow analysis can provide better tools and information for determining the tracing of the generator-consumer path. In this paper, the authors analyze the probabilistic distribution power factors method using the OptimalPowerPrice Mathematica software. Moreover, a correlation between the generalized distribution factors is obtained by means of probabilistic and deterministic methods. The case study in Section IV presents the above approach using a 25 buses test power system.
  • Keywords
    mathematics computing; power distribution; power engineering computing; OptimalPowerPrice Mathematica software; electric power systems; generator-consumer path; probabilistic distribution factors; probabilistic power flow analysis; Computational intelligence; Informatics; Power systems; Software testing; System testing; distribution factors; optimal power price; probabilistic power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-4477-9
  • Electronic_ISBN
    978-1-4244-4478-6
  • Type

    conf

  • DOI
    10.1109/SACI.2009.5136291
  • Filename
    5136291