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
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;
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
DOI :
10.1109/WSC.2002.1166429