Use of fuzzy logic applied to solar energy

Authors

  • Felipe Oliva de Godoy Engenheiro de Biossistemas, Mestrando em Engenharia de Sistemas Agrícolas, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba – SP.
  • Emmanuel Zullo Godinho Engenheiro Agrônomo, Doutorando em Agronomia – Energia na Agricultura, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Júlio de Mesquita Filho, Botucatu – SP, Docente Colégio Agrícola Estadual Adroaldo Augusto Colombo.
  • Rodrigo Serra Daltin Engenheiro Eletricista, Mestre em Engenharia Elétrica, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Júlio de Mesquita Filho, Botucatu – SP.
  • Fernando de Lima Caneppele Engenheiro Eletricista, Doutor em Agronomia – Energia na Agricultura, Universidade Estadual Paulista, Júlio de Mesquita Filho, Botucatu – SP, Docente Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo.

DOI:

https://doi.org/10.35977/0104-1096.cct2020.v37.26663

Keywords:

energy efficiency, wind power, Matlab

Abstract

Fuzzy logic is a method of translating verbal, vague, inaccurate and qualitative expressions, common in human communication, into a sequence and form understandable by computers. These systems are powerful tools that allow the expression of concepts that are not well defined, where a name or adjective is usually used to describe them. The work aims to improve the mathematical models for renewable energy sources through fuzzy application. Thus, modeling of a fuzzy controller was performed , operating in the hybrid renewable energy generation system, in order to develop and obtain a greater efficiency of the solar-wind hybrid system. The work used data from weather stations for the development of system simulations. For the development of the controller, the Matlab® software was used in the Fuzzy Logic ToolBoxTM module, where all the fuzzy theory was elaborated and applied in simulations with the controller in order to improve the efficiency of the system’s battery bank.

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Published

2020-06-22

How to Cite

Godoy, F. O. de, Godinho, E. Z., Daltin, R. S., & Caneppele, F. de L. (2020). Use of fuzzy logic applied to solar energy. Science & Technology Journals, 37(2), e26663. https://doi.org/10.35977/0104-1096.cct2020.v37.26663

Issue

Vol. 37 No. 2 (2020)

Section

Artigos

License

After publication of the work, the Authors are authorized to non-exclusively distribute the version of the published work (for example: publish in an institutional repository, as a book chapter, create links on electronic pages, etc.), as long as the authorship and initial publication in this journal are mentioned.