DocumentCode :
17721
Title :
A Game-Theoretic Analysis of Wind Generation Variability on Electricity Markets
Author :
Chattopadhyay, Deb ; Alpcan, Tansu
Author_Institution :
Energy & Water Dept., Saha Int., Parkdale, VIC, Australia
Volume :
29
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
2069
Lastpage :
2077
Abstract :
Wind generation variability in an energy-only market such Australian National Electricity Market (NEM) can create significant revenue uncertainties for incumbent generators and substantially increase price risks faced by retailers. This paper presents a Cournot game model to formally analyze how high volatility of wind generation in a concentrated energy-only market can raise the peak/shoulder period (of typically low wind generation) prices to offset the foregone revenue during off-peak periods (of high wind generation). A Monte Carlo simulation around a Cournot game is formulated as an inter-temporal nonlinear optimization problem to assess these issues. The model is implemented for the South Australian zone of the Australian NEM that has experienced high growth in wind generation in recent years. The model results support some of the observed spot pricing behavior in the region in recent years. These findings have significant ramifications for the efficacy of the energy-only market in scenarios with high penetration of intermittent generation.
Keywords :
Monte Carlo methods; game theory; optimisation; power markets; pricing; risk analysis; wind power; Australian NEM; Australian national electricity market; Cournot game model; Monte Carlo simulation; South Australian zone; electricity market; game theoretic analysis; incumbent generator; intertemporal nonlinear optimization problem; spot pricing observation; wind generation variability; wind generation volatility; Analytical models; Electricity supply industry; Games; Generators; Mathematical model; Optimization; Wind power generation; Australian electricity market; Cournot game; inter-temporal optimization; wind power variability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2306192
Filename :
6755570
Link To Document :
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