Turbulence and Control of Wind Farms

被引:26
作者
Shapiro, Carl R. [1 ,2 ]
Starke, Genevieve M. [1 ]
Gayme, Dennice F. [1 ]
机构
[1] Johns Hopkins Univ, Dept Mech Engn, Baltimore, MD 21218 USA
[2] US DOE, Bldg Technol Off, Washington, DC 20585 USA
基金
美国国家科学基金会;
关键词
wind energy; wind farm control; wake models; state estimation; renewable energy; SECONDARY FREQUENCY REGULATION; EXTREMUM-SEEKING CONTROL; LARGE-EDDY SIMULATIONS; ACTIVE POWER-CONTROL; DYNAMIC INDUCTION CONTROL; PREDICTIVE CONTROL; MEANDERING WAKE; TURBINE CONTROL; FIELD-TEST; MODEL;
D O I
10.1146/annurev-control-070221-114032
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind farm energy production, governing the velocity field that enters the farm as well as the turbulent mixing that regenerates energy for extraction at downstream rows. Understanding the dynamic interactions among turbines, wind farms, and the atmospheric boundary layer can therefore be beneficial in improving the efficiency of wind farm control approaches. Anticipated increases in the sizes of new wind farms to meet renewable energy targets will increase the importance of exploiting this understanding to advance wind farm control capabilities. This review discusses approaches for modeling and estimation of the wind farm flow field that have exploited such knowledge in closed-loop control, to varying degrees. We focus on power tracking as an example application that will be of critical importance as wind farms transition into their anticipated role as major suppliers of electricity. The discussion highlights the benefits of including the dynamics of the flow field in control and points to critical shortcomings of the current approaches.
引用
收藏
页码:579 / 602
页数:24
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