Optimal Offering Strategies for Wind Power Producers Considering Uncertainty and Risk

被引:40
作者
Catalao, J. P. S. [1 ]
Pousinho, H. M. I. [1 ]
Mendes, V. M. F. [2 ]
机构
[1] Univ Beira Interior, P-6201001 Covilha, Portugal
[2] Inst Super Engn Lisboa, P-1950062 Lisbon, Portugal
来源
IEEE SYSTEMS JOURNAL | 2012年 / 6卷 / 02期
关键词
Artificial intelligence; forecasting; risk analysis; stochastic programming; uncertainty; wind power; GENERATION; SYSTEMS;
D O I
10.1109/JSYST.2011.2163009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides a two-stage stochastic programming approach for the development of optimal offering strategies for wind power producers. Uncertainty is related to electricity market prices and wind power production. A hybrid intelligent approach, combining wavelet transform, particle swarm optimization and adaptive-network-based fuzzy inference system, is used in this paper to generate plausible scenarios. Also, risk aversion is explicitly modeled using the conditional value-at-risk methodology. Results from a realistic case study, based on a wind farm in Portugal, are provided and analyzed. Finally, conclusions are duly drawn.
引用
收藏
页码:270 / 277
页数:8
相关论文
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