English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49521/84657 (58%)
Visitors : 7595121      Online Users : 80
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/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:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File SizeFormat
    Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming_英文摘要.docx21KbMicrosoft Word74View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback