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