Bidding strategy of wind-thermal energy producers

• 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/10174/19522; https://doi.org/http://dx.doi.org/10.1016/j.renene.2016.07.049; https://doi.org/10.1016/j.renene.2016.07.049
• topic: Bidding strategy; stochastic programming; mixed integer linear programming; wind thermal coordination

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. An efficient mixed-integer linear program is presented to develop the offering strategies of the coordinated production of thermal and wind energy generation, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.