• DocumentCode
    2285425
  • Title

    A Fuzzy — Probabilistic hybrid approach to evaluate the impact of component outages, demand and generation cost uncertainties in the operation of power systems

  • Author

    Gomes, Bruno André ; Saraiva, João Tomé

  • Author_Institution
    INESC Porto, Porto, Portugal
  • fYear
    2011
  • fDate
    25-27 May 2011
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    This paper reviews the concepts and the solution algorithm of the Fuzzy DC OPF problem admitting generation costs and load values modeled by fuzzy numbers and details the integration of this problem in the Monte Carlo simulation model. In this sense, the paper describes an hybrid approach in which generation cost and demand uncertainties are represented by fuzzy numbers and the life cycle of the system components is modeled by probabilistic approaches. On this topic, the paper addresses the sampling procedure, the analysis of sampled states, the convergence testing and the computation of the expected values of the system Power Not Supplied and system risk indices. Finally, the paper includes results based on the IEEE 24 bus/38 branch test system to illustrate the proposed approach.
  • Keywords
    Monte Carlo methods; demand side management; fuzzy set theory; power generation economics; probability; risk management; IEEE 24 bus-38 branch test system; Monte Carlo simulation; component outage impact; convergence testing; demand uncertainty; fuzzy DC OPF problem; fuzzy number; fuzzy-probabilistic hybrid approach; generation cost uncertainty; load value; power system operation; system risk indices; Generators; Indexes; Load modeling; Monte Carlo methods; Power systems; Probabilistic logic; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Market (EEM), 2011 8th International Conference on the European
  • Conference_Location
    Zagreb
  • Print_ISBN
    978-1-61284-285-1
  • Electronic_ISBN
    978-1-61284-284-4
  • Type

    conf

  • DOI
    10.1109/EEM.2011.5953000
  • Filename
    5953000