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A Comprehensive Comparison of Two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems

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Modeling, Identification and Control Methods in Renewable Energy Systems

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

This chapter presents a detailed procedure to study and discuss the behavior of different maximum power point tracking (MPPT) techniques applied to PV systems. In this work, we presented a review on the state-of-the-art of photovoltaic System, DC/DC converter and power point tracking techniques such as conventional one incremental conductance (INC) and soft computing method fuzzy logic controller (FLC) are evaluated. The simulation results obtained are developed under software MATLAB/Simulink. Both methods (INC) and (FLC) are used with a boost DC/DC converter and a load. These results show that the fuzzy logic controller is better and faster than the conventional incremental conductance (INC) technique in both dynamic response and steady state in normal operation.

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Authors and Affiliations

  1. Department of Applied Physics, Laboratory of Electrical Systems and Telecommunications, Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakech, Morocco

    Aouatif Ibnelouad, Abdeljalil El Kari & Hassan Ayad

  2. Department of Mathematics and Systems, Royal School of Aeronautics, Marrakech, Morocco

    Mostafa Mjahed

Authors
  1. Aouatif Ibnelouad
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  2. Abdeljalil El Kari
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  3. Hassan Ayad
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  4. Mostafa Mjahed
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Editor information

Editors and Affiliations

  1. Sfax Engineering School, University of Sfax, Sfax, Tunisia

    Nabil Derbel

  2. University of the West of England, Bristol, UK

    Quanmin Zhu

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Ibnelouad, A., Kari, A.E., Ayad, H., Mjahed, M. (2019). A Comprehensive Comparison of Two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems. In: Derbel, N., Zhu, Q. (eds) Modeling, Identification and Control Methods in Renewable Energy Systems. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-1945-7_3

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  • DOI: https://doi.org/10.1007/978-981-13-1945-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1944-0

  • Online ISBN: 978-981-13-1945-7

  • eBook Packages: EnergyEnergy (R0)

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