Decision Trees for Real-Time Transient Stability Prediction

Report
Authors:Rovnyak, Steven, Institute for Parallel ComputationUniversity of Virginia Kretsinger, Stein, Institute for Parallel ComputationUniversity of Virginia Thorp, James, Institute for Parallel ComputationUniversity of Virginia Brown, Donald, Institute for Parallel ComputationUniversity of Virginia
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 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

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

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).

Publisher:
University of Virginia, Institute for Parallel Computation
Published Date:
1993