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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66766
Title: 
AI automates substation control
Author(s): 
Institution: 
  • Electric Test and Research Center
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0895-0156
Abstract: 
An overview is given on the possibility of controlling the status of circuit breakers (CB) in a substations with the use of a knowledge base that relates some of the operation magnitudes, mixing status variables with time variables and fuzzy sets. It is shown that even when all the magnitudes to be controlled cannot be included in the analysis, it is possible to control the desired status while supervising some important magnitudes as the voltage, power factor, and harmonic distortion, as well as the present status.
Issue Date: 
1-Jan-2002
Citation: 
IEEE Computer Applications in Power, v. 15, n. 1, p. 41-46, 2002.
Time Duration: 
41-46
Keywords: 
  • Artificial intelligence
  • Automation
  • Electric power factor correction
  • Electric power factor measurement
  • Electric substations
  • Fuzzy control
  • Harmonic analysis
  • Human computer interaction
  • Knowledge based systems
  • Response time (computer systems)
  • Voltage control
  • Automatic rule extraction
  • Data acquisition card
  • Inference module
  • Substation control
  • Computer control systems
Source: 
http://dx.doi.org/10.1109/67.976991
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/66766
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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