Title :
Advanced microprocessor based power protection system using artificial neural network techniques
Author :
Chen, Z. ; Kalam, A. ; Zayegh, Aladin
Author_Institution :
Save Energy Res. Group, Victoria Univ. of Technol., Melbourne, Vic., Australia
Abstract :
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
Keywords :
microcomputer applications; neural nets; overcurrent protection; power engineering computing; power system protection; relay protection; artificial neural network; fault classification; fault detection; intelligent system; microprocessor based power protection system; neural network technology; overcurrent protection; power fault classification; three phase power; three-phase system; Electrical fault detection; Hardware; Laboratories; Microprocessors; Neural networks; Power system faults; Power system protection; Power system relaying; Protective relaying; System testing;
Conference_Titel :
Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on
Print_ISBN :
0-7803-2981-3
DOI :
10.1109/EMPD.1995.500767
