Decision trees for real-time transient stability prediction

Author

Rovnyak, Steven ; Kretsinger, Stein ; Thorp, James ; Brown, Donald

Author_Institution

Cornell Univ., Ithaca, NY, USA

Volume

9

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

1417

Lastpage

1426

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.336122

Filename

336122