Conference paper Open Access

Joint state-parameter estimation for a control-oriented LES wind farm model

Doekemeijer, Bart M; Boersma, Sjoerd; Pao, Lucy Y; van Wingerden, Jan-Willem

Wind farm control research typically relies on computationally inexpensive, surrogate models for real-time optimization. However, due to the large time delays involved, changing atmospheric conditions and tough-to-model flow and turbine dynamics, these surrogate models need constant calibration. In this paper, a novel real-time (joint state-parameter) estimation solution for a medium-fidelity dynamical wind farm model is presented. In this work, we demonstrate the estimation of the freestream wind speed, local turbulence, and local wind field in a two-turbine wind farm using exclusively turbine power measurements. The estimator employs an Ensemble Kalman filter with a low computational cost of approximately 1.0 s per timestep on a dual-core notebook CPU. This work presents an essential building block for real-time wind farm control using computationally efficient dynamical wind farm models.

Files (1.1 MB)
Name Size
20180308_TORQUE_Doekemeijer_final.pdf
md5:3749c456c84d56b6e75bc5078cd88c64
1.1 MB Download
21
15
views
downloads
All versions This version
Views 2121
Downloads 1515
Data volume 16.7 MB16.7 MB
Unique views 1717
Unique downloads 1515

Share

Cite as