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The MPPT Command for a PV System Comparative Study: Fuzzy Control Based on Logic with the Command “P&O”

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Renewable Energy for Smart and Sustainable Cities (ICAIRES 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 62))

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Abstract

The photovoltaic system is able to provide a maximum power to the load to a point of particular operation which is usually called as the maximum point of power (MPP); thus, it is important to use a maximum power point trackers (MPPT) to achieve the photovoltaic maximum power nevertheless the unsteady environmental conditions. The (P&O) algorithm has used to be a classical solution for the purpose of tracking the maximum power, however, there are several drawbacks in this technique such as it causes an oscillation nearby the maximum power point. To overcome the existing problems in the classical method a lot of researches have been done.

This article provides an intelligent method to improve and optimize the performance of the maximum power point tracker associated with the PV array with the help of fuzzy logic technology, as well as compare its behavior by report has other techniques (P&O) used in the photovoltaic systems controls. The simulation results are developed under MATLAB/Simulink software. An extensive simulation have been done and compared with the traditional (P&O) technique under various climatic conditions to provide the effectiveness of the proposed controller.

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Authors and Affiliations

  1. Applied Automation and Industrial Diagnostics Laboratory, Djelfa University, Djelfa, Algeria

    Aicha Djalab, Mohamed Mounir Rezaoui, Ali Teta & Mohamed Boudiaf

Authors
  1. Aicha Djalab
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  2. Mohamed Mounir Rezaoui
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  3. Ali Teta
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  4. Mohamed Boudiaf
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Corresponding author

Correspondence to Aicha Djalab .

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Editors and Affiliations

  1. EPST-CDER, Unité de Développement des Equipements Solaires, Bou-Ismail, Algeria

    Mustapha Hatti

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Djalab, A., Rezaoui, M.M., Teta, A., Boudiaf, M. (2019). The MPPT Command for a PV System Comparative Study: Fuzzy Control Based on Logic with the Command “P&O”. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_38

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