DocumentCode :
2882385
Title :
Market based operation and planning-simulation and analysis
Author :
Sheblé, Gerald B.
Author_Institution :
Iowa State Univ., Ames, IA, USA
fYear :
1999
fDate :
1999
Firstpage :
42522
Lastpage :
615
Abstract :
The author describes how, in the deregulated electricity market, much power will be traded in regional commodity exchanges. He argues that: electricity traders will need good bidding strategies to survive in competitive trading; and fuzzy logic provides a means of building adaptive bidding strategies. Current research has shown that genetic algorithms provide a convenient way of fine tuning and testing various bidding strategies and that GAs can also be used to perform intelligent data mining and can infer other´s bidding rules
Keywords :
electricity supply industry; adaptive bidding strategies; competitive trading; deregulated electricity market; electricity traders; fuzzy logic; genetic algorithms; intelligent data mining; market-based power system operation; market-based power system planning; regional commodity exchanges;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Economics of Energy Markets (Ref. No. 1999/132), IEE Colloquium on
Conference_Location :
Dublin
Type :
conf
DOI :
10.1049/ic:19990711
Filename :
771852
Link To Document :
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