• DocumentCode
    1471297
  • Title

    Leveling reliability in systems with large hydro resources

  • Author

    González, Camino ; Juan, Jesús

  • Author_Institution
    Escuela Tech. Sup. Ing. Ind., Univ. Politecnica de Madrid, Spain
  • Volume
    14
  • Issue
    1
  • fYear
    1999
  • fDate
    2/1/1999 12:00:00 AM
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    Reliability analysis of a generating system is established in terms of the reliability characteristics of the different units in the system and in terms of the demand of energy to be satisfied. When the analysis is performed for the long-term (one year or more duration periods), the maintenance needs of thermal units as well as the time distribution of resources for units with energy restrictions, must also be taken into account. This paper describes a method for determining the optimal strategy for allocating the yearly energy resulting from random water inflows to the different subperiods of a year so that the reliability for all the subperiods is leveled. A characteristic feature of the method is that the uncertainty inherent in forecasting future available hydroenergy is transferred to the reliability index. The procedure is illustrated by an example prepared using the Spanish generating system
  • Keywords
    hydroelectric power stations; hydrothermal power systems; maintenance engineering; power generation reliability; thermal power stations; Spanish generating system; energy demand; energy restrictions; future available hydroenergy forecasting; generating system; large hydro resources; optimal strategy determination; random water inflows; reliability analysis; reliability index; thermal unit maintenance needs; time distribution; Character generation; Demand forecasting; Job shop scheduling; Maintenance; Performance analysis; Power system analysis computing; Power system economics; Power system reliability; Risk analysis; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.744479
  • Filename
    744479