Conference paper Open Access
Doekemeijer, Bart M;
Boersma, Sjoerd;
Pao, Lucy Y;
van Wingerden, Jan-Willem
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Doekemeijer, Bart M</dc:creator> <dc:creator>Boersma, Sjoerd</dc:creator> <dc:creator>Pao, Lucy Y</dc:creator> <dc:creator>van Wingerden, Jan-Willem</dc:creator> <dc:date>2018-08-03</dc:date> <dc:description>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.</dc:description> <dc:identifier>https://zenodo.org/record/2556513</dc:identifier> <dc:identifier>10.5281/zenodo.2556513</dc:identifier> <dc:identifier>oai:zenodo.org:2556513</dc:identifier> <dc:language>eng</dc:language> <dc:relation>info:eu-repo/grantAgreement/EC/H2020/727477/</dc:relation> <dc:relation>doi:10.5281/zenodo.2556512</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode</dc:rights> <dc:subject>wind farm control</dc:subject> <dc:subject>state estimation</dc:subject> <dc:subject>closed-loop</dc:subject> <dc:subject>kalman filtering</dc:subject> <dc:title>Joint state-parameter estimation for a control-oriented LES wind farm model</dc:title> <dc:type>info:eu-repo/semantics/conferencePaper</dc:type> <dc:type>publication-conferencepaper</dc:type> </oai_dc:dc>
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