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Turbulence and Control of Wind Farms

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DOI: 10.1146/annurev-control-070221-114032

关键词

wind energy; wind farm control; wake models; state estimation; renewable energy

资金

  1. National Science Foundation [CMMI 1635430, 2034111, CBET 1949778, DGE-1746891]
  2. Directorate For Engineering
  3. Div Of Civil, Mechanical, & Manufact Inn [2034111] Funding Source: National Science Foundation

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This paper discusses the importance of the dynamic changes in the turbulent atmospheric boundary layer in wind farm energy production and the optimization of control approaches. Studying the dynamics of the turbulent flow field is beneficial for improving wind farm control efficiency and plays a crucial role in the transition of wind farms into major electricity suppliers.
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.

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