SciELO - Scientific Electronic Library Online

 
vol.44 número2Modelo pedagógico para la formación de la competencia investigativa en el estudiante de ingeniería eléctricaModelo para simular el efecto de la distorsión armónica en las pérdidas de transformadores monofásicos índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Ingeniería Energética

versão On-line ISSN 1815-5901

Resumo

BORGES VASCONCELLOS, Davel Eduardo; SIERRA GIL, Eduardo; GONZALEZ PERDOMO, Diosmani  e  GONDRES TORNE, Israel. Unit commitment in isolated electric microgridapplying genetic algorithms. Energética [online]. 2023, vol.44, n.2, pp. 122-131.  Epub 03-Ago-2023. ISSN 1815-5901.

Nowadays, it is of utmost importance the construction and operation of generation, transmission, and distribution systems of electric energy in the most optimal and economical way possible. The present work deals with the problem of unit commitment, applied to an isolated electric microgrid to satisfy the estimated demand of the consumers with the use of artificial intelligence techniques. An adaptability model is proposed with the use of genetic algorithms tools, which is implemented with the help of the programming structures offered by MATLAB in its 2014th version (license 41048478), in its Global Optimization Toolbox. The effectiveness of the proposed model was validated in an application in the isolated electric system of the tourist pole of Cayo Coco-Cayo Guillermo, Ciego de Avila province, Cuba, for the unit commitment in an environment formed by several sources of electricity generation.

Palavras-chave : unit commitment; genetics algorithms; electric microgrid.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )