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
Link To Document :
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