• DocumentCode
    2590245
  • Title

    A contingency analysis for managing the risk of water spillage and shortage in a mid-term hydro scheduling model

  • Author

    Moraga, Rocio ; García-González, Javier ; Nogales, Sergio ; Arteseros, Montserrat

  • Author_Institution
    Inst. de Investigacion Technologica, Madrid
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a methodology to determine secure operation policies of hydro systems through a contingency scenario analysis in order to prevent the risk of spillage or shortage due to inflows different to those of the nominal case. The methodology is applied within a general mid-term hydro scheduling model used to find optimal and feasible schedules of cascaded reservoirs and hydro plants. The operation criterion is to maximize the expected income of a hydro generator but minimizing the possible damaging effects of the contingency scenarios considered. In order to obtain a set of realistic scenarios which considers the seasonal and spatial correlations of inflows, the contingency scenarios are created and chosen following a pattern and clustering analysis based on the statistical analysis of historic data. An example case is presented in order to illustrate the essential features of the proposed methodology
  • Keywords
    hydroelectric power stations; pattern clustering; power generation scheduling; power system management; power system security; risk management; statistical analysis; contingency analysis; hydro system scheduling; pattern clustering analysis; risk management; secure operation; statistical analysis; water shortage; water spillage; Conference management; Contingency management; Energy management; Power system analysis computing; Power system management; Power system modeling; Reservoirs; Risk analysis; Risk management; Water resources; Hydro scheduling; drought; flood; mid-term reservoir management; optimization; spillage management;
  • 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.2006.360201
  • Filename
    4202213