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Proceedings Paper

Pattern recognition application to power systems
Author(s): Nadipuram R. Prasad; Jay B. Jordan; Mahmoud Zayan
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Paper Abstract

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.

Paper Details

Date Published: 9 July 1992
PDF: 10 pages
Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); doi: 10.1117/12.138251
Show Author Affiliations
Nadipuram R. Prasad, New Mexico State Univ. (United States)
Jay B. Jordan, New Mexico State Univ. (United States)
Mahmoud Zayan, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1699:
Signal Processing, Sensor Fusion, and Target Recognition
Vibeke Libby; Ivan Kadar, Editor(s)

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