Wind farms providing secondary frequency  regulation: evaluating the performance of  model-based receding horizon control

Shapiro, Carl R.; Meyers, Johan; Meneveau, Charles; Gayme, Dennice F.

doi:https://doi.org/10.5194/wes-3-11-2018

Articles | Volume 3, issue 1

https://doi.org/10.5194/wes-3-11-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The Science of Making Torque from Wind (TORQUE) 2016

https://doi.org/10.5194/wes-3-11-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 3, issue 1

Research article

|

22 Jan 2018

Research article |

| 22 Jan 2018

Wind farms providing secondary frequency regulation: evaluating the performance of model-based receding horizon control

Carl R. Shapiro, Johan Meyers, Charles Meneveau, and Dennice F. Gayme

Data sets

Data associated with publication "Wind farms providing secondary frequency regulation: Evaluating the performance of model-based receding horizon control" C. R. Shapiro, J. Meyers, C. Meneveau, D. F. and Gayme https://doi.org/10.7281/T1/TLEBVW

Short summary

We investigate the capability of wind farms to track a power reference signal to help ensure reliable power grid operations. The wind farm controller is based on a simple dynamic wind farm model and tested using high-fidelity simulations. We find that the dynamic nature of the wind farm model is vital for tracking the power signal, and the controlled wind farm would pass industry performance tests in most cases.