• DocumentCode
    714134
  • Title

    A novel probabilistic load model and probabilistic power flow

  • Author

    Nassar, Mohammed E. ; Salama, M.M.A.

  • fYear
    2015
  • fDate
    3-6 May 2015
  • Firstpage
    881
  • Lastpage
    886
  • Abstract
    A precise planning and operation of the power system requires an accurate load model that account for the load stochastic nature. In addition, the probabilistic power flow is a vital tool for power system engineers. Hence, this paper presents a novel probabilistic load model that models the load with an average load curve in addition to a probabilistic error around this average value. The goodness of fit tests are used to find the best fit PDF to model that error. A probabilistic power flow algorithm is presented, this algorithm employs the proposed load model and solves the power flow using the forward/backward sweep technique.
  • Keywords
    load flow; probability; forward/backward sweep technique; goodness of fit tests; probabilistic error; probabilistic load model; probabilistic power flow algorithm; Computational modeling; Computers; Conferences; Decision support systems; Load flow; Load modeling; Probabilistic logic; forward backward sweep; power system modeling; probabilistic load model; probabilistic power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-5827-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2015.7129391
  • Filename
    7129391