期刊
RENEWABLE ENERGY
卷 99, 期 -, 页码 673-681出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.07.049
关键词
Bidding strategy; Stochastic programming; Mixed integer linear programming; Wind thermal coordination
资金
- Portuguese Funds through the Foundation for Science and Technology-FCT under the project LAETA [UID/EMS/50022/2013]
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. (C) 2016 Elsevier Ltd. All rights reserved.
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