| RENEWABLE ENERGY | 卷:99 |
| Bidding strategy of wind-thermal energy producers | |
| Article | |
| Laia, R.1,2  Pousinho, H. M. I.1  Melicio, R.1,2  Mendes, V. M. F.2,3  | |
| [1] Univ Lisbon, Inst Super Tecn, IDMEC, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal | |
| [2] Univ Evora, Escola Ciencias & Tecnol, Dept Fis, R Romao Ramalho 59, P-7002554 Evora, Portugal | |
| [3] Inst Super Engn Lisboa, Dept Elect Engn & Automat, P-1950062 Lisbon, Portugal | |
| 关键词: Bidding strategy; Stochastic programming; Mixed integer linear programming; Wind thermal coordination; | |
| DOI : 10.1016/j.renene.2016.07.049 | |
| 来源: Elsevier | |
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【 摘 要 】
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.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_renene_2016_07_049.pdf | 749KB |
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