ダウンロード数: 178
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
en7095624.pdf | 3.01 MB | Adobe PDF | 見る/開く |
タイトル: | A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation |
著者: | Ahmad, Mohd Azuma, Shun-ichi Sugie, Toshiharu https://orcid.org/0000-0002-6100-5222 (unconfirmed) |
著者名の別形: | 杉江, 俊治 |
キーワード: | model-free design stochastic approximation wind energy |
発行日: | 27-Aug-2014 |
出版者: | MDPI |
誌名: | Energies |
巻: | 7 |
号: | 9 |
開始ページ: | 5624 |
終了ページ: | 5646 |
抄録: | This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms. The main advantage is that the method based on MR-SPSA can achieve fast controller tuning without any plant model by exploiting the information of the wind farm configuration such as turbines location and wind direction. In order to simulate the performance of the model-free scheme, a wind farm model with dynamic characterization of wake interaction between turbines is used and then the proposed method is applied to the Horns Rev wind farm. Simulation results illustrate that the method based on MR-SPSA achieves the maximum total power production with faster convergence compared with other existing model-free methods. |
著作権等: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
URI: | http://hdl.handle.net/2433/191029 |
DOI(出版社版): | 10.3390/en7095624 |
出現コレクション: | 学術雑誌掲載論文等 |
このリポジトリに保管されているアイテムはすべて著作権により保護されています。