• DocumentCode
    804265
  • Title

    Decision Tree Assisted Controlled Islanding

  • Author

    Senroy, Nilanjan ; Heydt, Gerald T. ; Vittal, Vijay

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
  • Volume
    21
  • Issue
    4
  • fYear
    2006
  • Firstpage
    1790
  • Lastpage
    1797
  • Abstract
    Controlled islanding refers to the controlled separation of an interconnected power system into electrically isolated regions. The objective of this paper is to develop adaptive controlled islanding as a component of an emergency power system control strategy. There are two primary aspects of controlled islanding: 1) where to island and 2) when to island? Assisted by a decision tree (DT) approach, this paper seeks to address the "when to island" aspect. A decision tree based tool is proposed to recognize conditions existing in the system that warrant controlled islanding. A 29-generator, 179-bus system is employed to demonstrate the tool. Simulation data are used to train DTs, and the online performance of DTs is then evaluated as part of a controlled islanding strategy
  • Keywords
    decision trees; distributed power generation; power system control; power system interconnection; adaptive control; decision tree; emergency power system control; islanding control; power system interconnection; Control systems; Decision trees; Machine learning; Power system dynamics; Power system interconnection; Power system protection; Power system relaying; Power system reliability; Power system stability; Protective relaying; Controlled islanding; R-Rdot relay; decision tree; machine learning; power system stability; self healing; special protection systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.882470
  • Filename
    1717583