TY - JOUR
T1 - A constrained wind farm controller providing secondary frequency regulation
T2 - An LES study
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
AN - SCOPUS:85057162965
SN - 0960-1481
VL - 134
SP - 639
EP - 652
JO - Renewable Energy
JF - Renewable Energy
ER -