DocumentCode
1471944
Title
Linear complementarity models of Nash-Cournot competition in bilateral and POOLCO power markets
Author
Hobbs, Benjamin F.
Author_Institution
Dept. of Geogr. & Environ., Johns Hopkins Univ., Baltimore, MD, USA
Volume
16
Issue
2
fYear
2001
fDate
5/1/2001 12:00:00 AM
Firstpage
194
Lastpage
202
Abstract
Two Cournot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems (LCPs), and a simple example is presented to illustrate their application. The two models simulate bilateral markets. The models include a congestion pricing scheme for transmission, but other transmission pricing approaches can also be represented in this framework. The two models differ from each other in that one has no arbitrage between nodes of the network, while in the other model, arbitragers erase any noncost based differences in price. The latter bilateral model turns out to be equivalent to a Cournot model of a POOLCO. The models differ from other Cournot market models in that they include both of Kirchhoff´s laws via a DC approximation; can include arbitragers; possess unique solutions; and are readily solved by efficient LCP algorithms. The key assumption that permits their formulation as LCPs is that each producer naively assumes that its output will not affect transmission prices
Keywords
costing; electricity supply industry; power transmission economics; DC approximation; Kirchhoff´s laws; Nash-Cournot competition; POOLCO power markets; bilateral power markets; congestion pricing scheme; electricity producers; imperfect competition; linear complementarity models; mixed linear complementarity problems; transmission pricing; Approximation algorithms; Computer interfaces; Constraint theory; Corporate acquisitions; Game theory; Power generation; Power generation economics; Power markets; Power system modeling; Pricing;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.918286
Filename
918286
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