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Advisor(s)
Abstract(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.
Description
Keywords
Bidding strategy Stochastic programming Mixed integer linear programming Wind thermal coordination
Citation
LAIA, R.; [et al] - Bidding strategy of wind-thermal energy producers. Renewable Energy. ISSN 0960-1481. Vol. 99, (2016), pp. 673-681
Publisher
Elsevier