Decision Trees for Real-Time Transient Stability PredictionReport
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 off-line and then utilized on-line 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 Erom 50 randomly generated operating points on the New England 39 bus test system.
Note: Abstract extracted from PDF text
All rights reserved (no additional license for public reuse)
Rovnyak, Steven, Stein Kretsinger, James Thorp, and Donald Brown. "Decision Trees for Real-Time Transient Stability Prediction." University of Virginia Institute for Parallel Computation Tech Report (1993).
University of Virginia, Institute for Parallel Computation