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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


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{
  "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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