• DocumentCode
    1583889
  • Title

    Comparison between two probabilistic load flow methods for reliability assessment

  • Author

    Li, Gan ; Zhang, Xiao-Ping

  • Author_Institution
    Sch. of Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham, UK
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper reviews analytical and approximate methods in probabilistic load flow studies, and presents a general procedure of these methods. Two of these methods, the cumulant method and the point estimate method, are presented in detail. Moreover, the treatment of probabilistic loads is discussed in detail in the implementation of these methods. A comparison between these two methods is given through both theoretical analysis and case study to show their advantages and disadvantages. Finally, further research needs and application of these methods are also discussed.
  • Keywords
    load flow; power system reliability; analytical methods; approximate methods; probabilistic load flow methods; reliability assessment; Equations; Gallium nitride; Load flow; Load flow analysis; Power system analysis computing; Power system planning; Probability distribution; Renewable energy resources; Statistical analysis; Statistical distributions; Gram-Charlier series; Power system reliability; cumulant; point estimate; probabilistic load flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275534
  • Filename
    5275534