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Title: Bidding Decision of Wind-Thermal GenCo in Day-Ahead Market
Authors: Laia, Rui
Pousinho, Hugo
Melício, Rui
Mendes, Victor
Keywords: Bidding strategy
stochastic programming
mixed integer linear programming
wind thermal coordination
Issue Date: 26-Dec-2016
Abstract: 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.
Type: article
Appears in Collections:FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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