DocumentCode :
3583935
Title :
Bidding behaviour and electricity market simulation
Author :
Chandarasupsang, T. ; Galloway, S. ; Burt, G. ; McDonald, J. ; Siewierski, T.
Author_Institution :
Inst. of Energy & Environ., Strathclyde Univ., Glasgow, UK
fYear :
2004
Firstpage :
349
Lastpage :
355
Abstract :
To trade effectively and profitably in new electricity market structures, participants need to identify how best to use information available to them. In many cases only incomplete information will be available for short-term planning, trading and decision-making. This paper simulates a group of generators who adapt bidding behaviours in different segments of liberalised electricity markets based on historic market information, observed strategies, and their view of other market participants. Results show that even in the incomplete information case efficient bidding strategy for market participants can be identified. Specifically, this paper presents some key findings from an active electricity market and utilises them within an electricity market simulation. The benefit of market simulation for participants is identified and reported.
Keywords :
decision making; power engineering computing; power generation economics; power markets; power system planning; bidding behaviour; decision-making; electricity market liberalisation; electricity market simulation; market trading; power generators; profitability; short-term planning; Centralized control; Contracts; Decision making; Electricity supply industry; Load management; Power engineering and energy; Power markets; Power system modeling; Power system simulation; Uncertainty;
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 :
1378713
Link To Document :
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