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Neurofuzzy implementation of digital protection for power transmission systems

Authors: Wang, Hui Sheng.;

Neurofuzzy implementation of digital protection for power transmission systems

Abstract

Protecting transmission lines is an important task to safeguard electric power systems. Faults on transmission lines need to be detected, classified and located accurately for speedy clearance and reclosure. In this framework the most important aspects are fast and reliable fault detection and classification. The traditional protection algorithms are based on deterministic computations on a well-defined model of the system to be protected. This results in difficulty in taking system variation into account when the rules vary. They do not have the ability to adapt dynamically to the system operating conditions, and to make correct decisions if the signals are uncertain.

Master of Engineering

Country
Singapore
Related Organizations
Keywords

DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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