Conference paper Open Access
Doekemeijer, Bart M;
Boersma, Sjoerd;
Pao, Lucy Y;
van Wingerden, Jan-Willem
{ "inLanguage": { "alternateName": "eng", "@type": "Language", "name": "English" }, "description": "<p>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.</p>", "license": "https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode", "creator": [ { "affiliation": "Delft University of Technology", "@id": "https://orcid.org/0000-0003-2757-1615", "@type": "Person", "name": "Doekemeijer, Bart M" }, { "affiliation": "Delft University of Technology", "@type": "Person", "name": "Boersma, Sjoerd" }, { "affiliation": "University of Colorado Boulder", "@id": "https://orcid.org/0000-0001-9450-8902", "@type": "Person", "name": "Pao, Lucy Y" }, { "affiliation": "Delft University of Technology", "@id": "https://orcid.org/0000-0003-3061-7442", "@type": "Person", "name": "van Wingerden, Jan-Willem" } ], "headline": "Joint state-parameter estimation for a control-oriented LES wind farm model", "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", "datePublished": "2018-08-03", "url": "https://zenodo.org/record/2556513", "version": "final", "@type": "ScholarlyArticle", "keywords": [ "wind farm control", "state estimation", "closed-loop", "kalman filtering" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.2556513", "@id": "https://doi.org/10.5281/zenodo.2556513", "workFeatured": { "alternateName": "TORQUE 2018", "location": "Milan, Italy", "@type": "Event", "name": "The Science of Making Torque from Wind" }, "name": "Joint state-parameter estimation for a control-oriented LES wind farm model" }
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