MISC

2008年

Wind modelling and its possible application to control of wind farms

Signal Processing Techniques for Knowledge Extraction and Information Fusion
  • Yoshito Hirata
  • ,
  • Hideyuki Suzuki
  • ,
  • Kazuyuki Aihara

開始ページ
23
終了ページ
36
記述言語
英語
掲載種別
DOI
10.1007/978-0-387-74367-7_2
出版者・発行元
Springer US

Because of global warming and oil depletion, the number of wind turbines is increasing. Wind turbines commonly have a horizontal axis, but some wind turbines have a vertical axis. A problem of wind turbines with horizontal axis is that we need to face them towards the wind for maximising energy production. If the geography around a wind turbine is complicated, then the wind direction keeps changing. Thus, if one can predict the wind direction to some extent, then one may generate more electricity by controlling wind turbines according to the prediction. In this chapter, we discuss how to model the wind. First, we formulate a problem and clarify which properties of the wind we need to predict. Second, we discuss the characteristics for time series of the wind. Third, we model the wind based on the knowledge and predict it. We prepare different models for predicting wind direction and absolute wind speed. Finally, we apply the prediction and simulate control of a wind turbine. Since we integrate predictions for wind direction and absolute wind speed to obtain an optimal control, the whole scheme can be regarded as heterogeneous fusion. © 2008 Springer US.

リンク情報
DOI
https://doi.org/10.1007/978-0-387-74367-7_2

エクスポート
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