English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58323/91867 (63%)
Visitors : 14034923      Online Users : 237
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/987654321/38502

    Title: Optimal design for power system dynamic stabilizer by grey prediction PID control
    Authors: Ding, Chian-chuang;Lee, King-tan;Tsai, Chee-ming;Huang, Tsong-liang
    Contributors: 淡江大學電機工程學系
    Keywords: Power Systems Stability;Grey Prediction;Genetic Algorithms
    Date: 2002-12
    Issue Date: 2010-04-15 11:17:17 (UTC+8)
    Publisher: N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
    Abstract: In this paper, we proposed an effective method to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem; however, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of control system. Therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator and use grey prediction PID control to find control signal of each generator. Moreover, we will apply genetic algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
    Relation: Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on (Volume:1 ), pp.279-284
    DOI: 10.1109/ICIT.2002.1189907
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    Optimal design for power system dynamic stabilizer by grey prediction PID control.pdf328KbAdobe PDF453View/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