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
Link To Document :
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