Optimal Coordinated Wind and Generic Storage System Bidding in Electricity Markets

被引:0
作者
Sanchez de la Nieta, Agustin A. [1 ,2 ,3 ]
Tavares, Tiago A. M. [1 ,2 ,3 ]
Catalao, Joao P. S. [1 ,2 ,3 ]
Contreras, Javier [4 ]
机构
[1] Univ Beira Interior, Covilha, Portugal
[2] Univ Lisbon, INESC ID, P-1699 Lisbon, Portugal
[3] Univ Lisbon, IST, P-1699 Lisbon, Portugal
[4] Univ Castilla La Mancha, E-13071 Ciudad Real, Spain
来源
2015 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC) | 2015年
关键词
Day-ahead market; generic storage system; stochastic mixed integer linear programming; wind power; ENERGY; GENERATION; POWER; SPOT;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The volatility of the wind generation reduces the profits of wind generators as a consequence of the differences between the real wind generation and the wind power offered in the electricity markets. This paper presents two models: i) wind and generic storage system offering without a physical connection and ii) wind and generic storage system offering with a physical connection to mitigate the wind positive imbalances (excess of the wind generation with respect to the wind power offered). The objective of the models is to maximize the expected profit of selling the energy in the day-ahead market, where the energy can come from the wind power and the storage system. Moreover, the wind power imbalance is penalized in the balancing market reducing the profits. The problems are modeled using stochastic mixed integer linear programming. A case study of a week (168 hours) is simulated to evaluate the models. After the simulations, the results are discussed and a summary of the main conclusions are presented.
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页数:6
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