DocumentCode
1251375
Title
An AI tool for supervising substations
Author
Ayala, Melvin S. ; Botura, Galdenoro J. ; Maldonado, Oscar A.
Volume
20
Issue
5
fYear
2002
Firstpage
13
Lastpage
18
Abstract
Electric substations are facilities in charge of transform the voltage into safe and effective energy for the final consumers. This operation has to be carried out with enough quality assurance and without damaging the equipment. The associated cost to ensure this quality and security is high. Automatic mechanisms are used, however, they mostly operate under an individual´s control and use the protection logic related with the equipment itself. They do not consider the state of the whole substation at a given moment. It is possible to control the state of circuit breakers (CB) in a substation using a knowledge base even when all the magnitudes to be controlled cannot be included in the analysis. It will be shown that it is possible to control the desired state while supervising some important magnitudes such as the voltage, power factor and harmonic distortion as well as the present state. At the same time, the programming tool developed for this purpose is discussed
Keywords
artificial intelligence; circuit breakers; power system control; substations; circuit breakers; energy conservation; harmonic distortion; knowledge base; power factor; power system automation; programming tool; quality assurance; substations; Artificial intelligence; Automatic control; Automatic logic units; Circuit breakers; Costs; Quality assurance; Reactive power; Security; Substation protection; Voltage control;
fLanguage
English
Journal_Title
Potentials, IEEE
Publisher
ieee
ISSN
0278-6648
Type
jour
DOI
10.1109/45.983333
Filename
983333
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