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Advanced microprocessor based power protection system using artificial neural network techniques

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3 Author(s)
Chen, Z. ; Save Energy Res. Group, Victoria Univ. of Technol., Melbourne, Vic., Australia ; Kalam, A. ; Zayegh, A.

This paper describes an intelligent embedded microprocessor based system for fault classification in power system protection system using advanced 32-bit microprocessor technology. The paper demonstrates the development of a protective relay to provide overcurrent protection schemes for fault detection. It also describes a method for power fault classification in a three-phase system based on the use of neural network technology. The proposed design is implemented and tested on a single line three phase power system in a power laboratory. Both the hardware and software development are described in detail

Published in:

Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on  (Volume:1 )

Date of Conference:

21-23 Nov 1995