• DocumentCode
    2686248
  • Title

    The reliability evaluation of a power system in presence of photovoltaic and wind power generation plants and UPS

  • Author

    Burgio, A. ; Menniti, D. ; Pinnarelli, A. ; Sorrentino, N.

  • Author_Institution
    Univ. of Calabria, Rende
  • fYear
    2007
  • fDate
    9-11 Oct. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper a system in which a photovoltaic plant (PV) and a mini Wind plant integrated in a Uninterruptible Power System (UPS) is presented. The aim is to reduce the critical loads loss due to long interruption of the main supply, using the power produced by renewable sources. Obviously the critical load loss depends on many stochastic variables: main supply interruptions, battery capacity and weather condition; so to evaluate the reliability of the system is not a easy task. In the paper, the attention is focused on the estimation of the evaluation of system reliability and its improvement respect to a conventional UPS. In particular, the reliability estimation is performed in terms of the number of the critical loads interruptions over a certain period of time by using the Monte Carlo simulation method.
  • Keywords
    Monte Carlo methods; photovoltaic power systems; power generation reliability; power system reliability; uninterruptible power supplies; wind power plants; Monte Carlo simulation; UPS; photovoltaic power generation plants; power system reliability; uninterruptible power system; wind power generation plants; Distributed power generation; Photovoltaic systems; Power generation; Power system reliability; Renewable energy resources; Solar power generation; Uninterruptible power systems; Voltage; Wind energy generation; Wind power generation; Photovoltaic plant; Reliability analysis; Renewable sources; UPS; Wind plant; formatting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Quality and Utilisation, 2007. EPQU 2007. 9th International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-84-690-9441-9
  • Electronic_ISBN
    978-84-690-9441-9
  • Type

    conf

  • DOI
    10.1109/EPQU.2007.4424163
  • Filename
    4424163