• DocumentCode
    1188862
  • Title

    Living with uncertainty: R&D trends and needs in applying probability methods to power system planning and operation

  • Author

    Rau, N. ; Fong, C.C. ; Grigg, C.H. ; Silverstein, B.

  • Volume
    14
  • Issue
    11
  • fYear
    1994
  • Firstpage
    24
  • Lastpage
    25
  • Abstract
    In the electric utility industry, we can guarantee only one thing with absolute certainty: we live and work with many unknowns. Thus, the industry has embraced probability methods to varying degrees over the last 25 years. These techniques aid decision makers in planning, operations, and maintenance by quantifying uncertainty. Examples include power system reliability, production costing simulation, and assessment of environmental factors. A series of brainstorming sessions was conducted by the Application of Probability Methods (APM) Subcommittee of the IEEE Power Engineering Society to identify research and development needs and to ask the question, "where should we go from here?" We examined areas of need in data development, applications, and methods for decision making. The purpose of this article is to share the thoughts of APM members with a broader audience to our findings and to invite comments and participation.<>
  • Keywords
    costing; maintenance engineering; power system analysis computing; power system planning; power system reliability; probability; research and development management; Application of Probability Methods Subcommittee; IEEE Power Engineering Society; R&D trends; data development; decision making; electric utility industry; environmental factors assessment; maintenance; power system operation; power system planning; power system reliability; probability methods; production costing simulation; uncertainty; Brain modeling; Costing; Environmental factors; Maintenance; Power industry; Power system planning; Power system reliability; Power system simulation; Production systems; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/39.329163
  • Filename
    329163