• DocumentCode
    1503785
  • Title

    Decision analysis tools for GENCO dispatchers

  • Author

    Sheblé, Gerald B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    14
  • Issue
    2
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    745
  • Lastpage
    750
  • Abstract
    This paper outlines a decision analysis procedure to guide dispatchers in applying corporate policy for economic decisions when risk is involved. These techniques enable dispatchers to implement corporate policies without waiting for an answer from another group or groups within accepted guidelines. The intent of the procedure is to reduce the guidelines to expert system rules, which may be applied without extensive analysis. Such a set of tools is often used in other industries by administrative staff instead of engineering staff. Tools such as the one reported here are needed for the new business environment for profit opportunities to be achieved while maintaining security. The tool described within this paper was designed for a mid-western generation company to handle reserve or contingent contract requests
  • Keywords
    decision theory; electricity supply industry; expert systems; power generation dispatch; power generation economics; probability; risk management; administrative staff; contingent contract requests; corporate policies; corporate policy; decision analysis tools; economic decisions; expert system rules; extensive analysis; generation company dispatchers; mid-western generation company; preference-ordering theory; probabilistic risk assessment; probabilistic risk management; profit opportunities; reserve contract requests; statistical decision theory; subjective assessment; subjective statistical inference; utility theory; Companies; Contracts; Costs; Equipment failure; Fuels; Guidelines; Power generation economics; Production; Risk analysis; Risk management;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.761907
  • Filename
    761907