• DocumentCode
    9265
  • Title

    A Systematic Method to Model Power Systems as Stochastic Differential Algebraic Equations

  • Author

    Milano, F. ; Zarate-Minano, Rafael

  • Author_Institution
    Univ. Coll. Dublin, Belfield, Ireland
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4537
  • Lastpage
    4544
  • Abstract
    This paper proposes a systematic and general approach to model power systems as continuous stochastic differential-algebraic equations. With this aim, the paper provides a theoretical background on stochastic differential-algebraic equations and justifies the need for stochastic models in power system analysis. Then, the paper describes a general procedure to define stochastic dynamic models. Practical issues related to the numerical integration of the resulting power system model are also discussed. A case study illustrating the proposed approach is provided based on the IEEE 145-bus 50-machine system. The case study also illustrates and compares the reliability of the results obtained using stochastic and conventional probabilistic models.
  • Keywords
    IEEE standards; differential algebraic equations; power systems; probability; stochastic processes; IEEE 145-bus 50-machine system; continuous stochastic differential-algebraic equations; conventional probabilistic models; general approach; integration; numerical integration; power system analysis; power systems model; stochastic dynamic models; stochastic models; stochastic probabilistic models; systematic approach; systematic method; Ornstein-Uhlenbeck´s process; Wiener´s process; power system dynamics; stochastic differential algebraic equations (SDAE); time domain integration;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2266441
  • Filename
    6547228