Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-11-2018
https://doi.org/10.5194/wes-3-11-2018
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

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Cited articles

Aho, J., Buckspan, A., Laks, J., Fleming, P., Jeong, Y., Dunne, F., Churchfield, M., Pao, L., and Johnson, K.: A tutorial of wind turbine control for supporting grid frequency through active power control, in: American Control Conference, Montreal, Canada, 3120–3131, https://doi.org/10.1109/ACC.2012.6315180, 2012. a, b
Aho, J., Buckspan, A., Pao, L., and Fleming, P.: An active power control system for wind turbines capable of primary and secondary frequency control for supporting grid reliability, in: AIAA Aerospace Sciences Meeting, Grapevine, TX, 2013. a, b, c, d
Annoni, J., Howard, K., Seiler, P., and Guala, M.: An experimental investigation on the effect of individual turbine control on wind farm dynamics, Wind Energy, 19, 1453–1467, https://doi.org/10.1002/we.1930, 2016. a
Bewley, T. R., Moin, P., and Temam, R.: DNS-based predictive control of turbulence: An optimal benchmark for feedback algorithms, J. Fluid Mech., 447, 179–225, 2001. a, b
Borzì, A. and Schulz, V.: Computational Optimization of Systems Governed by Partial Differential Equations, SIAM, Philadelphia, PA, 2011. a
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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.
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