• DocumentCode
    1100824
  • Title

    Statistical Analysis of Exceptional Events: The Italian Regulatory Experience

  • Author

    Fumagalli, Elena ; Schiavo, Luca Lo ; Paganoni, Anna Maria ; Secchi, Piercesare

  • Author_Institution
    Dept. of Manage., Econ. & Ind. Eng., Politec. di Milano, Milan
  • Volume
    24
  • Issue
    3
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    1319
  • Lastpage
    1327
  • Abstract
    In the analysis of reliability performance of distribution utilities, as well as in continuity of supply regulation, criteria are needed for separating normal operation data from exceptional events. In recent years a number of statistical methodologies has been proposed for this purpose. We present here the new methodology that was adopted by the Italian regulatory authority at the beginning of 2008. The decision is supported by a statistical analysis of the number of faults on the medium voltage (MV) and low voltage (LV) networks, for each six-hour time interval in a three year time span, for different provinces and distribution companies. The new methodology is employed in the reward and penalty mechanisms that regulate the SAIDI, SAIFI, and MAIFI indicators and, with some original provisions, also in the Guaranteed Standard on maximum restoration times.
  • Keywords
    fault diagnosis; power distribution reliability; statistical analysis; Italian regulatory experience; distribution utilities; exceptional events; fault analysis; low voltage networks; medium voltage networks; reliability performance; statistical analysis; supply regulation continuity; Engineering management; Information analysis; Instruments; Low voltage; Medium voltage; Monitoring; Performance analysis; Power generation economics; Regulators; Statistical analysis; Continuity of supply; exceptional events; performance-based regulation; reliability; statistical methodology;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2008.2007013
  • Filename
    5109857