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A constrained wind farm controller providing secondary frequency regulation : An LES study. / Boersma, S.; Doekemeijer, B. M.; Siniscalchi-Minna, S.; van Wingerden, J. W.

In: Renewable Energy, Vol. 134, 2019, p. 639-652.

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@article{c2330fffd0b6439294231faa99042bdf,
title = "A constrained wind farm controller providing secondary frequency regulation: An LES study",
abstract = "Active power control for wind farms is needed to provide ancillary services. One of these services is to track a power reference signal with a wind farm by dynamically de- and uprating the turbines. In this paper we present a closed-loop wind farm controller that evaluates 1) thrust coefficients on a seconds-scale that provide power tracking and minimize dynamical loading on a farm level and 2) yaw settings on a minutes-scale that maximize the possible power that can be harvested by the farm. The controller is evaluated in a high-fidelity wind farm model. A six-turbine simulation case study is used to demonstrate the time-efficient controller for different controller settings. The results indicate that, with a power reference signal below the maximal possible power that can be harvested by the farm with non-yawed turbines, both tracking and reduction in dynamical loading can be ensured. In a second case study we illustrate that, when a wind farm power reference signal exceeds the maximal possible power that can be harvested with non-yawed turbines for a time period, it can not be tracked sufficiently. However, when solving for and applying optimized yaw settings, tracking can be ensured for the complete simulation horizon.",
keywords = "Active power control, Closed-loop wind farm control, Model predictive control, Wake redirection control",
author = "S. Boersma and Doekemeijer, {B. M.} and S. Siniscalchi-Minna and {van Wingerden}, {J. W.}",
year = "2019",
doi = "10.1016/j.renene.2018.11.031",
language = "English",
volume = "134",
pages = "639--652",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A constrained wind farm controller providing secondary frequency regulation

T2 - Renewable Energy

AU - Boersma, S.

AU - Doekemeijer, B. M.

AU - Siniscalchi-Minna, S.

AU - van Wingerden, J. W.

PY - 2019

Y1 - 2019

N2 - Active power control for wind farms is needed to provide ancillary services. One of these services is to track a power reference signal with a wind farm by dynamically de- and uprating the turbines. In this paper we present a closed-loop wind farm controller that evaluates 1) thrust coefficients on a seconds-scale that provide power tracking and minimize dynamical loading on a farm level and 2) yaw settings on a minutes-scale that maximize the possible power that can be harvested by the farm. The controller is evaluated in a high-fidelity wind farm model. A six-turbine simulation case study is used to demonstrate the time-efficient controller for different controller settings. The results indicate that, with a power reference signal below the maximal possible power that can be harvested by the farm with non-yawed turbines, both tracking and reduction in dynamical loading can be ensured. In a second case study we illustrate that, when a wind farm power reference signal exceeds the maximal possible power that can be harvested with non-yawed turbines for a time period, it can not be tracked sufficiently. However, when solving for and applying optimized yaw settings, tracking can be ensured for the complete simulation horizon.

AB - Active power control for wind farms is needed to provide ancillary services. One of these services is to track a power reference signal with a wind farm by dynamically de- and uprating the turbines. In this paper we present a closed-loop wind farm controller that evaluates 1) thrust coefficients on a seconds-scale that provide power tracking and minimize dynamical loading on a farm level and 2) yaw settings on a minutes-scale that maximize the possible power that can be harvested by the farm. The controller is evaluated in a high-fidelity wind farm model. A six-turbine simulation case study is used to demonstrate the time-efficient controller for different controller settings. The results indicate that, with a power reference signal below the maximal possible power that can be harvested by the farm with non-yawed turbines, both tracking and reduction in dynamical loading can be ensured. In a second case study we illustrate that, when a wind farm power reference signal exceeds the maximal possible power that can be harvested with non-yawed turbines for a time period, it can not be tracked sufficiently. However, when solving for and applying optimized yaw settings, tracking can be ensured for the complete simulation horizon.

KW - Active power control

KW - Closed-loop wind farm control

KW - Model predictive control

KW - Wake redirection control

UR - http://www.scopus.com/inward/record.url?scp=85057162965&partnerID=8YFLogxK

U2 - 10.1016/j.renene.2018.11.031

DO - 10.1016/j.renene.2018.11.031

M3 - Article

VL - 134

SP - 639

EP - 652

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -

ID: 47713026