• DocumentCode
    1624260
  • Title

    Uncertainty in power system modeling and computation

  • Author

    Alvarado, Fernando ; Hu, Yi ; Adapa, Rambabu

  • Author_Institution
    Wisconsin Univ., Madison, WI, USA
  • fYear
    1992
  • Firstpage
    754
  • Abstract
    The authors describe three ways of capturing uncertainty in power system computation: probabilistic methods; fuzzy arithmetic techniques; and interval mathematics. The advantages and disadvantages of each, the manner in which results from each technique must be interpreted, and the limitations of each methods are discussed. The application of these methods to the power flow problem and extensions to optimum power flows and security calculations are described. The emphasis is on a comparison of features of each approach in the context of power systems applications
  • Keywords
    fuzzy set theory; load flow; optimisation; power systems; probability; applications; fuzzy arithmetic; interval mathematics; load flow; optimisation; power flow; power system modeling; probabilistic methods; security calculations; uncertainty; Arithmetic; Costs; Fuzzy sets; Fuzzy systems; Load flow; Mathematical model; Power system modeling; Power system security; Senior members; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271535
  • Filename
    271535