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
Link To Document :
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