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Orientador(es)
Resumo(s)
This paper presents a stochastic mixed-integer linear programming approach for solving the selfscheduling 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 effi- cient 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.
Descrição
Palavras-chave
Bidding strategy Stochastic programming Mixed integer linear programming Wind thermal coordination
Contexto Educativo
Citação
LAIA, R.; [et al] - Bidding strategy of wind-thermal energy producers. Renewable Energy. ISSN 0960-1481. Vol. 99, (2016), pp. 673-681
Editora
Elsevier