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

Volume

1

fYear

1995

Firstpage

439

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on

Print_ISBN

0-7803-2981-3

Type

conf

DOI

10.1109/EMPD.1995.500767

Filename

500767