A new neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers

Journal Article · Sat Jan 01 00:00:00 EST 1994 · IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/61.277693· OSTI ID:7046341

Yang, H T; Chang, W Y; Huang, C L ^[1]

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1. National Cheng Kung Univ., Tainan (Taiwan, Province of China). Dept. of Electrical Engineering

This paper proposes a new Neural Networks Diagnostic System for on-line fault section estimation using information of relays and circuit breakers. This system has similar profile of an expert system, but can be constructed much more easily from elemental samples. These samples associate fault section with its primary, local and/or remote protective relays and breakers. The diagnostic system can be applicable to the power system control center for single or multiple fault sections estimation, even in the cases of failure operation of relay and breaker, or error-existent data transmission. The proposed approach has been practically verified by testing on a model power system. The test results, although preliminary, suggest the system can be implemented by various electric utilities with relatively low customization effort.

• OSTI ID: 7046341
• Journal Information: IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States), Vol. 9:1; ISSN 0885-8977
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
POWER SYSTEMS
FAILURE MODE ANALYSIS
AUTOMATION
EQUIPMENT PROTECTION DEVICES
NEURAL NETWORKS
ENERGY SYSTEMS
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
240100* - Power Systems- (1990-)
990200 - Mathematics & Computers