Title :
Decision trees for real-time transient stability prediction
Author :
Rovnyak, Steven ; Kretsinger, Stein ; Thorp, James ; Brown, Donald
Author_Institution :
Cornell Univ., Ithaca, NY, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
The ability to rapidly acquire synchronized phasor measurements from around the system opens up new possibilities for power system protection and control. This paper demonstrates how decision trees can be constructed offline and then utilized online for predicting transient stability in real-time. Primary features of the method include building a single tree for all fault locations, using a short window of realistic-precision post-fault phasor measurements for the prediction, and testing robustness to variations in the operating point. Several candidate decision trees are tested on 40,800 faults from 50 randomly generated operating points on the New England 39 bus test system
Keywords :
control system analysis computing; decision theory; digital simulation; electrical faults; power system analysis computing; power system control; power system measurement; power system protection; power system stability; power system transients; computer simulation; decision trees; operating point; power system control; power system protection; real-time transient stability prediction; realistic precision post-fault phasor measurements; robustness; synchronized phasor measurements; Buildings; Control systems; Decision trees; Fault location; Power measurement; Power system protection; Power system stability; Power system transients; System testing; Windows;
Journal_Title :
Power Systems, IEEE Transactions on