Investigating How Wind Farm Power Variability Can Be Reduced Through Predictive Control
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About The Author

Jeffrey Marshall is a professor at the University of Vermont's College of Engineering and Mathematical Sciences. Marshall specializes in Vortex-structure interaction, vortex turbulence, particulate flows, particle adhesion, biofluid flows, wind energy, algae biofuels, Lagrangian and multiscale computational methods, thin-film flows, complex systems.

                       

Investigating How Wind Farm Power Variability Can Be Reduced Through Predictive Control

The past decade has seen a rapid increase in the growth of wind energy in the United States. While conversion to renewable energy sources is necessary to reduce worldwide CO2 emission, the intermittency of wind energy creates a new set of challenges to be addressed. Specifically, the power output of a wind farm is not steady but fluctuates as the wind speed fluctuates, with fluctuations spanning time periods ranging from months to minutes. The electric grid was designed to only...

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