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Advisor(s)
Abstract(s)
This paper deals with the self-scheduling problem of a price-taker having wind and thermal power production and assisted by a cyber-physical system for supporting management decisions in a day-ahead electric energy market. The self-scheduling is regarded as a stochastic mixed-integer linear programming problem. Uncertainties on electricity price and wind power are considered through a set of scenarios. Thermal units are modelled by start-up and variable costs, furthermore constraints are considered, such as: ramp up/down and minimum up/down time limits. The stochastic mixed-integer linear programming problem allows a decision support for strategies advantaging from an effective wind and thermal mixed bidding. A case study is presented using data from the Iberian electricity market. (C) 2016 Published by Elsevier Ltd.
Description
Keywords
bidding strategy stochastic programming mixed integer linear programming wind thermal coordination
Citation
LAIA, R.; [et al] – Bidding decision of wind-thermal GenCo in day-ahead market. In 1st Energy Economics Iberian Conference (EEIC). Lisbon, Portugal. Energy Procedia: Elsevier, 2016. ISSN 1876-6102. http://ac.els-cdn.com/S1876610216316654/1-s2.0-S1876610216316654-main.pdf?_tid=ddf5d920-08b9-11e7-8a06-00000aab0f6b&acdnat=1489498184_2fc784e8b1bb794a673daef7527a60dd. Vol. 106/Pp. 87-96
Publisher
Elsevier