DocumentCode :
1378130
Title :
Strategic gaming analysis for electric power systems: an MPEC approach
Author :
Hobbs, Benjamin F. ; Metzler, Carolyn B. ; Pang, Jong-Shi
Author_Institution :
Dept. of Geogr. & Environ. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Volume :
15
Issue :
2
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
638
Lastpage :
645
Abstract :
Transmission constraints and market concentration may prevent power markets from being fully competitive, allowing firms to exercise market power and raise prices above marginal cost. We present a strategic gaming model for analyzing such markets; it represents an oligopolistic market economy consisting of several dominant firms in an electric power network. Each generating firm submits bids to an ISO, choosing its bids to maximize profits subject to anticipated reactions by rival firms. The single-firm model is formulated as a mathematical program with equilibrium constraints (MPEC) with a parameter-dependent spatial price equilibrium problem as the inner problem. Power flows and pricing strategies are constrained by the ISO´s linearized DC optimal power flow (OFF) model. A penalty interior point algorithm is used to compute a local optimal solution of the MPEC. Numerical examples based on a 30 bus network are presented, including multi-firm Nash equilibria in which each player solves an MPEC of the single-firm type
Keywords :
costing; electricity supply industry; game theory; load flow; power system economics; 30 bus network; dominant firms; electric power network; electric power systems; linearized DC optimal power flow model; local optimal solution; mathematical program with equilibrium constraints; multi-firm Nash equilibria; oligopolistic market economy; parameter-dependent spatial price equilibrium; penalty interior point algorithm; power flows; power markets; pricing strategies; single-firm model; strategic gaming analysis; strategic gaming model; transmission constraints; Character generation; Costs; ISO; Load flow; Mathematical model; 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 :
10.1109/59.867153
Filename :
867153
Link To Document :
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