DocumentCode :
753532
Title :
Congestion influence on bidding strategies in an electricity market
Author :
Peng, Tengshun ; Tomsovic, Kevin
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
18
Issue :
3
fYear :
2003
Firstpage :
1054
Lastpage :
1061
Abstract :
Much of the research on bidding strategies in an electricity market has focused on idealized situations where participants have limited market power and the transmission system is not constrained. Yet, congestion may act to effectively give a bidder market power, and consequently the ability to influence the market clearing price. In such a noncompetitive situation, the bidding strategies of market participants will change. In this paper, the electrical power market is modeled as an oligopoly market and the Cournot quantity model is applied to the bidding strategy problem. The bidding process with congestion management is modeled as a three level optimization problem. A statistical methodology is then proposed as a solution for large systems.
Keywords :
optimisation; power markets; statistical analysis; transmission networks; Cournot quantity model; Nash equilibrium; bidding strategies; congestion influence; congestion management; electricity market; market clearing price; mixed strategy equilibrium; noncompetitive situation; oligopoly market; statistical methodology; three level optimization problem; transmission system; Decision making; Electricity supply industry; Game theory; Nash equilibrium; Oligopoly; Power markets; Power system management; Power system modeling; Pricing; Statistical analysis;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2003.810893
Filename :
1216146
Link To Document :
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