https://scholars.lib.ntu.edu.tw/handle/123456789/559356
標題: | Neural network-based supplementary frequency controller for a DFIG wind farm | 作者: | Chien, T.-H. Huang, Y.-C. YUAN-YIH HSU |
關鍵字: | Artificial neural network (ANN); Doubly fed induction generator (DFIG); Frequency control; Wind generation | 公開日期: | 2020 | 卷: | 13 | 期: | 20 | 來源出版物: | Energies | 摘要: | An artificial neural network (ANN)-based supplementary frequency controller is designed for a doubly fed induction generator (DFIG) wind farm in a local power system. Since the optimal controller gain that gives highest the frequency nadir or lowest peak frequency is a complicated nonlinear function of load disturbance and system variables, it is not easy to use analytical methods to derive the optimal gain. The optimal gain can be reached through an exhaustive search method. However, the exhaustive search method is not suitable for online applications, since it takes a long time to perform a great number of simulations. In this work, an ANN that uses load disturbance, wind penetration, and wind speed as the inputs and the desired controller gain as the output is proposed. Once trained by a proper set of training patterns, the ANN can be employed to yield the desired gain in a very efficient manner, even when the operating condition is not included in the training set. Therefore, the proposed ANN-based controller can be used for real-time frequency control. Results from MATLAB/SIMULINK simulations performed on a local power system in Taiwan reveal that the proposed ANN can yield a better frequency response than the fixed-gain controller. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85093364316&partnerID=40&md5=d11763a6c3c9b94ce94358c1f945d249 https://scholars.lib.ntu.edu.tw/handle/123456789/559356 |
ISSN: | 19961073 | DOI: | 10.3390/en13205320 | SDG/關鍵字: | Asynchronous generators; Controllers; Electric fault currents; Electric power system control; Electric utilities; Frequency response; MATLAB; Neural networks; Wind; Wind power; Doubly fed induction generators; Fixed gain controllers; Frequency controllers; Matlab/Simulink simulation; Nonlinear functions; On-line applications; Operating condition; Optimal controller; Electric machine control |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。