• DocumentCode
    303855
  • Title

    Enhanced fuzzy power flow models integrating correlation between nodal injections

  • Author

    Saraiva, J. Tomé ; Duarte, Fernando Oscar

  • Author_Institution
    INESC, Porto, Portugal
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 May 1996
  • Firstpage
    885
  • Abstract
    This paper reviews some concepts related to fuzzy load modeling namely dealing with correlated and uncorrelated models. After briefly describing DC and AC fuzzy power flow models, the problem of integrating information about correlations between node consumptions or injections in these models is addressed. This information leads to a correction phase performed after running the previous models. This correction phase is organized as a linear programming problem solved in a very efficient way taking advantage of the special structure of the problem. The methodology is illustrated using a case study based on the IEEE 24 bus/38 branch Test System
  • Keywords
    fuzzy set theory; linear programming; load (electric); load flow; power system analysis computing; AC fuzzy power flow models; DC fuzzy power flow models; IEEE 24 bus/38 branch Test System; correction phase; correlated models; enhanced fuzzy power flow models; fuzzy load modeling; linear programming; node consumptions; uncorrelated models; DC generators; Economic forecasting; Fuzzy set theory; Fuzzy systems; Load flow; Power generation; Power system modeling; Power system planning; Power system reliability; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
  • Conference_Location
    Bari
  • Print_ISBN
    0-7803-3109-5
  • Type

    conf

  • DOI
    10.1109/MELCON.1996.551352
  • Filename
    551352