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Intelligent System for Dispatch Ranking of Generating Units in Thermoelectric Power-Plants
Campos, Ricardo Barbosa de Almeida; Assunção, Frederico de Oliveira; Oliveira, Elvis Ricardo de; Silva, Luiz Eduardo Borges da; Bonaldi, Erik Leandro; Lambert-Torres, Germano; Olivieira, Levy Ely de Lacerda de; Costa, Herbert Antonio Marques da; Gontijo, Vinicius Martins; Bizinotto, Rodrigo Oliveira Rosa.
  • Campos, Ricardo Barbosa de Almeida; Gnarus Institute. Itajubá. BR
  • Assunção, Frederico de Oliveira; Gnarus Institute. Itajubá. BR
  • Oliveira, Elvis Ricardo de; Gnarus Institute. Itajubá. BR
  • Silva, Luiz Eduardo Borges da; Itajubá Federal University. Institute of System Engineering and Information Technology. Itajubá. BR
  • Bonaldi, Erik Leandro; Gnarus Institute. Itajubá. BR
  • Lambert-Torres, Germano; Gnarus Institute. Itajubá. BR
  • Olivieira, Levy Ely de Lacerda de; Gnarus Institute. Itajubá. BR
  • Costa, Herbert Antonio Marques da; Palmeiras de Goiás Power Plant. Palmeiras de Goiás. BR
  • Gontijo, Vinicius Martins; Palmeiras de Goiás Power Plant. Palmeiras de Goiás. BR
  • Bizinotto, Rodrigo Oliveira Rosa; Palmeiras de Goiás Power Plant. Palmeiras de Goiás. BR
Braz. arch. biol. technol ; 64: e21210187, 2021. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1355829
ABSTRACT
Abstract The multicriteria decision-making process is still an open problem, especially when the decision criteria are not numerical or fully outlined. Several numerical, intelligent, or hybrid techniques have been developed, creating contributions to this problem's solution. This paper is another step in this direction. Based on the Modified Analytic Hierarchy Process (MAHP), a methodology for diagnosis and performance analysis is presented for the dispatch ranking of generating units in a thermoelectric plant. The problem is complex because it covers a power plant, where 99 generating units may be dispatched, according to 10 possible evaluation criteria, which should be used together. This article also presents details of the implementation of the sensors necessary to add to the supervisory system existing in the Palmeiras de Goias Thermal Power Plant.


Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Language: English Journal: Braz. arch. biol. technol Journal subject: Biology Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Gnarus Institute/BR / Itajubá Federal University/BR / Palmeiras de Goiás Power Plant/BR

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Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Language: English Journal: Braz. arch. biol. technol Journal subject: Biology Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Gnarus Institute/BR / Itajubá Federal University/BR / Palmeiras de Goiás Power Plant/BR