• DocumentCode
    1166579
  • Title

    Decision tree based transient stability method a case study

  • Author

    Wehenkel, L. ; Pavella, M. ; Euxibie, E. ; Heilbronn, B.

  • Author_Institution
    Inst. Montefiore, Liege Univ., Belgium
  • Volume
    9
  • Issue
    1
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    459
  • Lastpage
    469
  • Abstract
    The decision tree transient stability method is revisited via a case study carried out on the French EHV power system. In short, the method consists of building offline decision trees, able to subsequently assess the system transient behavior in terms of precontingency parameters (or “attributes”) of it, likely to drive the stability phenomena. This case study aims at investigating practical feasibility aspects and features of the trees, at enhancing their reliability to the extent possible, and at generalizing them. Feasibility aspects encompass database generation, candidate attributes, stability classes; tree features concern in particular complexity in terms of their size and interpretability capabilities, robustness with respect to both their building and use. Reliability is enhanced by defining and exploiting pragmatic quality measures. Generalization concerns multicontingency, instead of single-contingency trees. The results obtained show real promise for the method to meet practical needs of electric power utilities
  • Keywords
    decision theory; generalisation (artificial intelligence); power system analysis computing; power system stability; power system transients; EHV power system; candidate attributes; database generation; decision tree; generalization; multicontingency; offline; power utilities; precontingency parameters; stability classes; transient stability; Artificial intelligence; Computer aided software engineering; Control systems; Decision trees; Power system control; Power system stability; Power system transients; Power systems; Robust stability; System testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.317577
  • Filename
    317577