A Knowledge-Based Approach for Control of Two-Level Energy Storage for Wind Energy Systems

被引:116
作者
Abbey, Chad [1 ]
Strunz, Kai [2 ]
Joos, Geza [1 ]
机构
[1] McGill Univ, Dept Elect & Comp Engn, Power Engn Res Lab, Montreal, PQ H3A 2A7, Canada
[2] Tech Univ Berlin, Sch Elect Engn & Comp Sci, D-10623 Berlin, Germany
关键词
Energy storage; knowledge-based systems; neural networks; power generation; wind energy; POWER;
D O I
10.1109/TEC.2008.2001453
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 percentage of wind energy in a generation mix will ultimately be limited by its intermittency and uncertainty as a source of power. However, the pairing of wind with energy storage systems could be utilized in order to produce dispatchable power. This paper considers a two-level energy storage system for application to wind energy systems. A knowledge-based management algorithm is proposed in order to schedule the power from the two levels. The system is tested for two possible power systems applications and its performance is compared with that of an alternate scheduling approach. Results demonstrate that the proposed algorithm requires a lower storage rating due to its ability to better coordinate operation of the two devices.
引用
收藏
页码:539 / 547
页数:9
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