DocumentCode :
2962293
Title :
Decision Aids for Scheduling and Hedging (DASH) in deregulated electricity markets: a stochastic programming approach to power portfolio optimization
Author :
Sen, Suvrajeet ; Yu, Lihua ; Genc, Talat
Author_Institution :
Raptor Lab., Arizona Univ., Tucson, AZ, USA
Volume :
2
fYear :
2002
fDate :
8-11 Dec. 2002
Firstpage :
1530
Abstract :
The DASH model for power portfolio optimization provides a tool which helps decision-makers coordinate production decisions with opportunities in the wholesale power market. The methodology is based on a stochastic programming model which selects portfolio positions that perform well on a variety of scenarios generated through statistical modeling and optimization. When compared with a commonly used fixed-mix policy, our experiments demonstrate that the DASH model provides significant advantages over several fixed-mix policies.
Keywords :
commodity trading; decision making; decision support systems; power markets; stochastic programming; DASH; Decision Aids for Scheduling and Hedging; decision making; deregulated electricity markets; power portfolio optimization; production decisions; statistical modeling; stochastic programming; wholesale power market; Acquired immune deficiency syndrome; Electricity supply industry; Electricity supply industry deregulation; Forward contracts; Laboratories; Portfolios; Power markets; Production; Profitability; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
Type :
conf
DOI :
10.1109/WSC.2002.1166429
Filename :
1166429
Link To Document :
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