DocumentCode :
3583948
Title :
Electricity market strategy characterisation with fuzzy logic: application to different types of power plants
Author :
Massucco, S. ; Meini, L. ; Silvestro, F. ; Burt, G. ; Galloway, S. ; McDonald, J. ; Siewierski, T.
Author_Institution :
Dept. of Electr. Eng., Genoa Univ., Italy
fYear :
2004
Firstpage :
356
Lastpage :
361
Abstract :
In the last decade many countries have gone through liberalisation of their electricity industries. In many instances this has seen a move towards increased competition with market forces left to determine price. The resultant changes to market structure affect both electricity market participation and the operation of the power systems requiring a whole range of new issues to be addressed. This paper proposes an electricity market oriented tool that creates bidding strategies in a competitive market environment by combining fuzzy logic and deterministic approaches. In this way the technical, economic and behavioural decision making process of a generation based market participant is considered. The proposed model can be accommodated by both a power exchange and a balancing market The results obtained for different types of plants have been compared with actual market results for a representative combined cycle gas turbine plant (CCGT).
Keywords :
combined cycle power stations; decision making; fuzzy logic; gas turbine power stations; power generation economics; power markets; power plants; bidding strategy; combined cycle gas turbine plant; competitive markets; economic decision making; electricity industry liberalisation; electricity market; fuzzy logic; power exchange; power generation; power plants; price determination; Decision making; Electricity supply industry; Environmental economics; Fuzzy logic; Power generation; Power generation economics; Power markets; Power system economics; Power systems; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
Type :
conf
Filename :
1378714
Link To Document :
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