• DocumentCode
    2592245
  • Title

    Analysis Of The Methodology Adopted By The Italian Regulatory Authority For Identifying Major Event Days

  • Author

    Salvati, Simonetta ; Fumagalli, Elena ; Schiavo, Luca Lo ; Secchi, Piercesare

  • Author_Institution
    Dept. of Math., Politecnico di Milano, Milan
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Italian regulatory mechanism for quality of service in electricity distribution links the tariff to the SAIDI indicator, net of contributions from exceptional events. In the year 2004 a two-step statistical methodology was introduced to identify major event days (MEDs). This statistical criterion defines a potential MED as a day with a daily CAIDI greater than the mean plus one standard deviation of the annual distribution of daily CAIDI for the relevant spatial unit, the territorial district; within this subset, a MED is a day with a daily SAIDI greater than the mean plus three standard deviations of the daily SAIDI distribution. A one year experience with this approach confirms its validity and suggests an alternative definition of the first step. The suggested definition is still based on a model-free statistical approach, but refers instead to percentiles. This modification would enhance the robustness of the method and enable to drop a currently necessary ex-post adjustment of the regulatory procedure
  • Keywords
    power distribution; power supply quality; statistical analysis; tariffs; Italian regulatory authority; MED; SAIDI indicator; electricity distribution link; major event days; model-free statistical approach; quality of service; Cost function; Design methodology; Numerical analysis; Power generation; Power system analysis computing; Quality of service; Regulators; Robustness; Statistical analysis; Continuity of service; electricity distribution; major event days; performance-based regulation; statistical methodology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360320
  • Filename
    4202332