Laia, R.Pousinho, H. M. I.Melício, R.Mendes, Victor2017-03-142017-03-142016LAIA, 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. 87-961876-6102http://hdl.handle.net/10400.21/6857This 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.engbidding strategystochastic programmingmixed integer linear programmingwind thermal coordinationconference object10.1016/j.egypro.2016.12.107