Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/95911

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/95911

题名:	Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming
作者:	Li, Chien-Ying;Huang, Tsong-Liang
贡献者:	淡江大學電機工程學系
关键词:	Power system stabilizer;Grey prediction fuzzy controller;Evolutionary programming
日期:	2004-03
上传时间:	2014-02-13 11:19:47 (UTC+8)
摘要:	In this paper, we propose an effective method to design the grey prediction PID controller for power system stabilizers (PSSs). The proposed method requires only a few desired state variables, such as torque angles and rotor speeds. Firstly, we use the optimal reducing technique to reduce the order of the power system model into two state variable systems, and then we use the grey prediction PID controller to predict the control signal of each generator. Moreover, we use the fuzzy controller to enhance the performance of the PID. And then we apply the evolutionary programming (EP) technique to search the optimal parameters of the PID controller and optimal forecasting step of the grey prediction. Finally, we illustrate the advantages of the proposed method with the numerical simulation of a two-machines-infinite-bus power system.
關聯:	Proceedings of 2004 IEEE International Conference on Networking, Sensing and Control，頁1370-1375
显示于类别:	[電機工程學系暨研究所] 會議論文

文件中的档案:

档案	大小	格式	浏览次数
Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming_英文摘要.docx	21Kb	Microsoft Word	118	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章