• DocumentCode
    1388508
  • Title

    Unifying Supply Reliability and Voltage Quality in the Representation of an Electrical System Node

  • Author

    Langella, Roberto ; Manco, Teresa ; Testa, Alfredo

  • Author_Institution
    Dipt. di Ing. delllnformazione, Seconda Univ. di Napoli, Aversa, Italy
  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1172
  • Lastpage
    1181
  • Abstract
    A general probabilistic model is presented of an electrical system node capable of unifying supply reliability (SR) and voltage quality (VQ) from the point of view of a sensitive user. It is a discrete state model based on the classification characteristics of measurement results, as recommended by the SR/VQ standards. It makes it possible to take into account: 1) the user´s sensitivity, simply by drawing border lines between the states whose effects cause malfunctions and the other states, and 2) the uncertainty related to the random nature of the phenomena involved and of the equipment sensitivities. The authors use the Markov process theory to develop and solve the model, taking advantage of the so-called device of stages extension to represent the nonexponential nature of voltage dip durations and the recovery times consequent to long and short interruptions. In order to demonstrate the usefulness of the proposed model and the importance of the recovery time probability distribution, a representative case study is also discussed.
  • Keywords
    Markov processes; power supply quality; Markov process theory; electrical system node representation; general probabilistic model; recovery time probability distribution; supply reliability; voltage dip durations; voltage quality; Discrete state model; Markov process theory; long and short interruptions; supply reliability; voltage dips; voltage quality;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2034914
  • Filename
    5392967