A control-oriented dynamic wind farm model: WFSim
-
Published:2018-03-06
Issue:1
Volume:3
Page:75-95
-
ISSN:2366-7451
-
Container-title:Wind Energy Science
-
language:en
-
Short-container-title:Wind Energ. Sci.
Author:
Boersma Sjoerd, Doekemeijer BartORCID, Vali Mehdi, Meyers JohanORCID, van Wingerden Jan-WillemORCID
Abstract
Abstract. Wind turbines are often sited together in wind farms as it is economically advantageous. Controlling the flow within wind farms to reduce the fatigue loads, maximize energy production and provide ancillary services is a challenging control problem due to the underlying time-varying non-linear wake dynamics. In this paper, we present a control-oriented dynamical wind farm model called the WindFarmSimulator (WFSim) that can be used in closed-loop wind farm control algorithms. The three-dimensional Navier–Stokes equations were the starting point for deriving the control-oriented dynamic wind farm model. Then, in order to reduce computational complexity, terms involving the vertical dimension were either neglected or estimated in order to partially compensate for neglecting the vertical dimension. Sparsity of and structure in the system matrices make this model relatively computationally inexpensive. We showed that by taking the vertical dimension partially into account, the estimation of flow data generated with a high-fidelity wind farm model is improved relative to when the vertical dimension is completely neglected in WFSim. Moreover, we showed that, for the study cases considered in this work, WFSim is potentially fast enough to be used in an online closed-loop control framework including model parameter updates. Finally we showed that the proposed wind farm model is able to estimate flow and power signals generated by two different 3-D high-fidelity wind farm models.
Publisher
Copernicus GmbH
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference49 articles.
1. Annoni, J. and Seiler, P.: A low-order model for wind farm control, P. Amer. Contr. Conf., https://doi.org/10.1109/ACC.2015.7170981, 2015. 2. Annoni, J., Seiler, P., Johnson, K., Fleming, P. A., and Gebraad, P. M. O.: Evaluating wake models for wind farm control, P. Amer. Contr. Conf., https://doi.org/10.1109/ACC.2014.6858970, 2014. 3. Avila, M., Folch, A., Houzeaux, G., Eguzkitza, B., Prieto, L., and Cabezøn, D.: A Parallel CFD Model for Wind Farms, Procedia Comput. Sci., 18, 2157–2166, 2013. 4. Barthelmie, R., Frandsen, S., Hansen, K., Schepers, J., Rados, K., Schlez, W., Neubert, A., Jensen, L., and Neckelmann, S.: Modelling the impact of wakes on power output at Nysted and Horns rev, European Wind Energy Conference, 2009. 5. Boersma, S., Gebraad, P. M. O., Vali, M., Doekemeijer, B. M., and van Wingerden, J. W.: A control-oriented dynamic wind farm flow model: “WFSim”, J. Phys. Conf. Ser., https://doi.org/10.1088/1742-6596/753/3/032005, 2016a.
Cited by
73 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|