Advanced microprocessor based power protection system using artificial neural network techniques

Conference · Sun Dec 31 00:00:00 EST 1995

OSTI ID:433856

Chen, Z; Kalam, A; Zayegh, A ^[1]

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1. Victoria Univ. of Technology, Melbourne , Victoria (Australia). Save Energy Research Group

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 protective relay to provide overcurrent protection schemes for fault detection. It also describes a method for power fault classification in 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 power laboratory. Both the hardware and software development are described in detail.

• OSTI ID: 433856
• Report Number(s): CONF-951136-; ISBN 0-7803-2981-3; TRN: IM9709%%290
• Resource Relation: Conference: 1995 International conference on energy management and power delivery, Singapore (Singapore), 21-23 Nov 1995; Other Information: PBD: 1995; Related Information: Is Part Of 1995 international conference on energy management and power delivery: Proceedings. Volume 1; PB: 479 p.
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
COMPUTERIZED CONTROL SYSTEMS
NEURAL NETWORKS
EQUIPMENT PROTECTION DEVICES
POWER SYSTEMS
EXPERT SYSTEMS