DocumentCode
928872
Title
Strategic Behavior and Equilibrium in Experimental Oligopolistic Electricity Markets
Author
Chen, Haoyong ; Wang, Xifan
Author_Institution
South China Univ. of Technol., Guangdong
Volume
22
Issue
4
fYear
2007
Firstpage
1707
Lastpage
1716
Abstract
The method of experimental economics is applied to research of oligopolistic electricity markets. The design of experimental platform, principles of experimental economics and experimental design are introduced. The experiments are organized on base of the Cournot model of oligopolistic electricity markets. A set of experiments are conducted on the experimental oligopolistic markets with three generating companies (Gencos) and the experimental results are analyzed with strict statistics approaches. The results show that the market competition will converge to the results between perfect competition equilibrium and Nash equilibrium in oligopolistic electricity markets with asymmetric production cost functions and repeated play among the Gencos. The decision support tools of Gencos have significant influences on experimental results. The markets converge to static Cournot-Nash equilibrium when the bounded-rational subjects repeatedly play, equipped with the tools that can give best response strategies. The experimental method provides a complement to the theoretical research and computer simulation and has many merits in modeling realistic electricity markets.
Keywords
costing; design of experiments; power markets; Cournot model; Gencos; Nash equilibrium; asymmetric production cost function; decision support tools; experimental design; experimental economics; experimental oligopolistic electricity markets; perfect competition equilibrium; Cost function; Electricity supply industry; Game theory; Laboratories; Mathematical model; Microeconomics; Nash equilibrium; Power engineering; Power generation economics; Power system economics; Cournot oligopoly; Nash equilibrium; decision support tool; electricity markets; experimental economics;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2007.907530
Filename
4349066
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