DocumentCode :
3729716
Title :
Optimization of static wind power investment in the Australian national electricity market
Author :
Sebastian Forsyth;Nadali Mahmoudi;Tapan Saha
Author_Institution :
School of Information Technology and Electrical Engineering, University of Queensland, Australia
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper studies the Australian market conditions and subsidies in place to promote the growth of wind power through the use of a stochastic linear programming model. This model optimizes the profit obtained for a static investment based on a variety of wind and price scenarios. It is subject to different constraints which focus on the amount of initial capital injected by an investor, selling power through a Power Purchase Agreement (PPA) or using the Market Clearing Price (MCP). The Conditional Value-at-risk (CVaR) risk is also considered in this model to assist in differentiating between a risk-neutral and risk-averse investor. This has been evaluated for Portland on the coast of Victoria, Australia, using current data.
Keywords :
"Decision support systems","Reactive power","Stochastic processes","Investment","Wind power generation","Linear programming","Australia"
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2015.7381014
Filename :
7381014
Link To Document :
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