• DocumentCode
    3090380
  • Title

    Ball Catching: the Inspiration to Power System Stability Control, A Fast Algorithm for the Generator´s Disturbed Trajectory Prediction

  • Author

    Mao, Anjia

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power system is a wide-area distributed system whose dynamic behavior is very complex. To analyze and control such a system, it is either too difficult to set up a particular and accurate mathematic model or the hypothetical conditions for setting up the model are difficult to be satisfied in practice. However, the human behavior, which is ball-catching theorem studied in robotics, tells us that we can often deal with a problem without the accurate and particular model of the system. Inspired by this idea, this paper proposes a fast algorithm for the generator\´s disturbed trajectory prediction. The method is a closed-loop control with the adaptive process of "measuring- regulating-predicting" and depends only on the generator\´s local measurements. Theoretical analysis and numeric simulation shows that the algorithm is efficient and provides a feasible solution for real-time transient stability analysis and control.
  • Keywords
    closed loop systems; power distribution control; power system dynamic stability; power system transient stability; real-time systems; ball catching theorem; closed-loop control; generator disturbed trajectory prediction; power system stability control; real-time transient stability analysis; wide-area distributed system; Control system analysis; Control systems; Mathematical model; Power generation; Power system analysis computing; Power system control; Power system dynamics; Power system modeling; Power system stability; Trajectory; Ball-Catching Theorem; Power System; Trajectory Prediction; Transient Stability Analysis and Control; WAMS; Weighted Least Square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385647
  • Filename
    4275256