DocumentCode
1838212
Title
Supply function equilibrium with generation constraints solved through mixed-integer programming
Author
El Khatib, Sameh ; Galiana, Francisco D.
Author_Institution
McGill Univ., Montreal, QC, Canada
fYear
2010
fDate
23-25 June 2010
Firstpage
1
Lastpage
7
Abstract
Supply function equilibrium (SFE) developed by Klemperer and Mayer is a popular approach to analyze market power and study gaming strategies in electricity markets. We extend the notion of SFE to the case where power generating companies own multiple generating units with asymmetric generation costs and upper and lower generation limits. Such a SFE is characterized by a set of differential equations subject to inequality constraints which can be expressed as a mixed-integer program (MIP). We then numerically solve and examine the behaviour of affine SFE with generation constraints by solving the defining MIP using standard MIP solvers. The behavior of the affine SFE exhibits enlightening and reasonable results when units switch from (or to) one of their generations limits.
Keywords
differential equations; integer programming; power generation economics; asymmetric generation costs; differential equations; electricity markets; generation constraints; generation limits; inequality constraints; market power; mixed-integer programming; supply function equilibrium; Programming; Nash equilibrium; SFE simulations; affine supply function; capacity constraints; generation limits; mixed-integer programming; supply function equilibrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Market (EEM), 2010 7th International Conference on the European
Conference_Location
Madrid
Print_ISBN
978-1-4244-6838-6
Type
conf
DOI
10.1109/EEM.2010.5558736
Filename
5558736
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