• DocumentCode
    972786
  • Title

    A simulation approach to balancing annual risk and reward in retail electrical power markets

  • Author

    Gabriel, Steven A. ; Genc, Mehmet Ferudun ; Balakrishnan, Swaminathan

  • Author_Institution
    Dept. of Civil & Environ. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    17
  • Issue
    4
  • fYear
    2002
  • fDate
    11/1/2002 12:00:00 AM
  • Firstpage
    1050
  • Lastpage
    1057
  • Abstract
    Retail electrical power marketers, also known as retailers, typically set up contracts with suppliers to secure electricity at fixed prices on the one hand and with end users to meet their load requirements at agreed upon rates on the other hand. Providing future load requirements accurately to the suppliers is an integral part of these supply contracts. In this paper, we analyze a series of retailer strategies to determine future loads using simulation at the hourly level for a simulated year (8760 hr). We provide numerical results based on actual data for the PJM market and provide insights into these retailer strategies.
  • Keywords
    decision making; power markets; power system simulation; probability; risk management; PJM market; annual risk and reward balancing; contracts; decision-making; load requirements; probability distributions; retail electrical power markets; risk analysis; suppliers; Analytical models; Contracts; Load forecasting; Power generation; Power markets; Power supplies; Probability distribution; Risk analysis; Statistical analysis; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.804987
  • Filename
    1137593