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Maximum Power Point Tracking of Photovoltaic System Based on Fuzzy Control to Increase There Solar Energy Efficiency

  • Ahmed HafaifaEmail author
  • Kaid Imed
  • Mouloud Guemana
  • Abudura Salam
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 7)

Abstract

Recently, the growing need for energy as well as pollution from the use of fossil fuels are driving the general public to use renewable energies. In this context, solar photovoltaic energy is one of the most important sources of renewable energy, which represents a solution to our energy production problems. In addition, this energy seems the most promising, non-polluting and inexhaustible. Nevertheless, the production system of this energy is nonlinear and it varies according to the luminous intensity and the temperature. Therefore, the operating point of the photovoltaic panel does not always coincide with the point of maximum power. This work proposes a mechanism that allows the research and the pursuit of the maximum power point based on a fuzzy control of photovoltaic system. To develop an algorithm to extract the maximum energy converted by the examined photovoltaics panels.

Keywords

Artificial intelligence Fuzzy control MPPT Photovoltaics Energy storage Efficiency Photovoltaic energy 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ahmed Hafaifa
    • 1
    Email author
  • Kaid Imed
    • 1
  • Mouloud Guemana
    • 2
  • Abudura Salam
    • 2
  1. 1.Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and TechnologyUniversity of DjelfaDjelfaAlgeria
  2. 2.Faculty of Science and TechnologyUniversity of MédéaMedeaAlgeria

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