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A decision tree-based on-line preventive control strategy for power system transient instability prevention

Author

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  • Yan Xu
  • Zhao Dong
  • Rui Zhang
  • Kit Po Wong

Abstract

Maintaining transient stability is a basic requirement for secure power system operations. Preventive control deals with modifying the system operating point to withstand probable contingencies. In this article, a decision tree (DT)-based on-line preventive control strategy is proposed for transient instability prevention of power systems. Given a stability database, a distance-based feature estimation algorithm is first applied to identify the critical generators, which are then used as features to develop a DT. By interpreting the splitting rules of DT, preventive control is realised by formulating the rules in a standard optimal power flow model and solving it. The proposed method is transparent in control mechanism, on-line computation compatible and convenient to deal with multi-contingency. The effectiveness and efficiency of the method has been verified on New England 10-machine 39-bus test system.

Suggested Citation

  • Yan Xu & Zhao Dong & Rui Zhang & Kit Po Wong, 2014. "A decision tree-based on-line preventive control strategy for power system transient instability prevention," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(2), pages 176-186.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:2:p:176-186
    DOI: 10.1080/00207721.2011.626906
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