Title :
Optimal offering strategies in day-ahead electricity markets under uncertainty
Author :
Simoglou, Christos K. ; Biskas, Pandelis N. ; Bakirtzis, Anastasios G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Abstract :
This paper addresses the self-scheduling problem of a hydrothermal producer, which is formulated and solved as a two-stage stochastic programming problem with recourse in order to account for market uncertainty. The producer is considered to own thermal and hydro generating units and participate as a price-maker in the day-ahead energy market. Forward bilateral contracts with end-consumers are considered and their effect on the producer self-schedule and profits is examined. The CVaR metric accounting for risk management is also incorporated. Post-processing techniques are applied for the construction of the generating units optimal offer curves to be submitted to the day-ahead energy market.
Keywords :
contracts; hydrothermal power systems; power generation scheduling; power markets; risk management; stochastic programming; CVaR metric; day-ahead electricity markets; day-ahead energy market; end-consumers; forward bilateral contracts; hydro generating units; hydrothermal producer; market uncertainty; optimal offering strategies; post-processing technique; price-maker; risk management; self-scheduling problem; thermal generating units; two-stage stochastic programming problem; Day-ahead energy market; mixed-integer linear programming (MILP); offering curves; residual demand curve; self-scheduling; two-stage stochastic programming;
Conference_Titel :
Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012), 8th Mediterranean Conference on
Conference_Location :
Cagliari
Electronic_ISBN :
978-1-84919-715-1
DOI :
10.1049/cp.2012.2003