Pattern recognition application to power systems

Nadipuram R. Prasad; Jay B. Jordan; Mahmoud Zayan

doi:10.1117/12.138251

9 July 1992 Pattern recognition application to power systems

Nadipuram R. Prasad, Jay B. Jordan, Mahmoud Zayan

Proceedings Volume 1699, Signal Processing, Sensor Fusion, and Target Recognition; (1992) https://doi.org/10.1117/12.138251
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Nadipuram R. Prasad, Jay B. Jordan, and Mahmoud Zayan "Pattern recognition application to power systems", Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); https://doi.org/10.1117/12.138251

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