August 3, 2018 Conference paper Open Access

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

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.2556513", 
  "language": "eng", 
  "title": "Joint state-parameter estimation for a control-oriented LES wind farm model", 
  "issued": {
    "date-parts": [
      [
        2018, 
        8, 
        3
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Doekemeijer, Bart M"
    }, 
    {
      "family": "Boersma, Sjoerd"
    }, 
    {
      "family": "Pao, Lucy Y"
    }, 
    {
      "family": "van Wingerden, Jan-Willem"
    }
  ], 
  "id": "2556513", 
  "event-place": "Milan, Italy", 
  "version": "final", 
  "type": "paper-conference", 
  "event": "The Science of Making Torque from Wind (TORQUE 2018)"
}