TY - JOUR
AU - Prasad, Nadipuram R.
AB - This paper demonstrates the successful application of a pattern recognition technique to detect abnormal operating conditions in power systems. Specifically, the paper discusses the application of the minimum entropy method to derive a 2-class classifier system that enables classification of power system behavior into either the secure or insecure class. Security violations are detected on the basis of a line-overload criteria. Classifier results for the New England Power test system are provided. The major benefits obtained by the application pattern recognition techniques are the rapid detection of abnormal operating conditions and the substantial reduction in computation as compared to traditional methods.
TI - Pattern recognition application to power systems
JF - Proceedings of SPIE
DO - 10.1117/12.138251
DA - 1992-07-09
UR - https://www.deepdyve.com/lp/spie/pattern-recognition-application-to-power-systems-jYWOWCKJJS
SP - 432
EP - 441
VL - 1699
IS - 1
DP - DeepDyve
ER -