Bidding Decision of Wind-Thermal GenCo in Day-Ahead Market

• Autor(a) principal: Laia, Rui
• Data de Publicação: 2016
• Outros Autores: Pousinho, Hugo, Melício, Rui, Mendes, Victor
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/19674; https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.107; https://doi.org/10.1016/j.egypro.2016.12.107
• topic: Bidding strategy; stochastic programming; mixed integer linear programming; wind thermal coordination

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.