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

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Proceeding > Item 987654321/95911

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/95911

Title:	Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming
Authors:	Li, Chien-Ying;Huang, Tsong-Liang
Contributors:	淡江大學電機工程學系
Keywords:	Power system stabilizer;Grey prediction fuzzy controller;Evolutionary programming
Date:	2004-03
Issue Date:	2014-02-13 11:19:47 (UTC+8)
Abstract:	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.
Relation:	Proceedings of 2004 IEEE International Conference on Networking, Sensing and Control，頁1370-1375
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Proceeding

Files in This Item:

File	Size	Format
Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming_英文摘要.docx	21Kb	Microsoft Word	119	View/Open