• DocumentCode
    1378158
  • Title

    Influence of temperature and load forecast uncertainty on estimates of power generation production costs

  • Author

    Valenzuela, Jorge ; Mazumdar, Mainak ; Kapoor, Anoop

  • Author_Institution
    Dept. of Ind. Eng., Pittsburgh Univ., PA, USA
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    668
  • Lastpage
    674
  • Abstract
    The paper considers the use of production costing models for short term operations planning. In this period an accurate forecast of the hourly ambient temperature during the study horizon and the knowledge of the initial operating states of each generating unit are assumed to be available. Uncertainties in the production cost and marginal cost resulting from the generator availabilities and hourly loads are considered. Measures of these uncertainties are obtained from an analysis of two years´ actual hourly load data. Monte Carlo simulation is used to estimate the contributions of uncertainties resulting from load and generator availabilities to the variance of production costs. It is found that ignoring the ambient temperature forecasts and correlation among hourly loads results in inaccurate prediction of costs, and that load uncertainty accounts for a significant portion of the variance of production costs. The initial states of the generating units also have an important effect on the costs
  • Keywords
    Monte Carlo methods; costing; load forecasting; power generation economics; Monte Carlo simulation; ambient temperature forecasts; generating unit; generating units initial states; generator availabilities; hourly ambient temperature; hourly load data; initial operating states; load availabilities; load forecast uncertainty; load models; marginal cost uncertainties; power generation production costs estimation; production cost uncertainties; production costing models; short term operations planning; study horizon; temperature; Costing; Costs; Load forecasting; Power generation; Power generation planning; Power industry; Predictive models; Production planning; Temperature; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.867157
  • Filename
    867157