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Optimized Management for Photovoltaic Applications Based on LEDs by Fuzzy Logic Control and Maximum Power Point Tracking

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Nearly Zero Energy Communities (CSE 2017)

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Abstract

This work takes into account the implementation and analysis of a Fuzzy Logic Controller (FLC) based on Maximum Power Point Tracking (MPPT), in order to optimize the output parameters and efficiency of a photovoltaic system (PV), as well as its integration in specific applications of LED lighting. The obtained results prove the effectiveness of the FLC and MPPT able to reduce fluctuations in terms of output parameters and to have a quick response for electrical load against variations of solar radiation. By this approach the complex PV system behavior was analyzed on short, medium and long term.

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Author information

Authors and Affiliations

  1. Polytechnic University of Bucharest, Bucharest, Romania

    Dan Craciunescu, Laurentiu Fara, Paul Sterian, Andreea Bobei & Florin Dragan

  2. Academy of Romanian Scientists, Bucharest, Romania

    Laurentiu Fara & Paul Sterian

Authors
  1. Dan Craciunescu
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  2. Laurentiu Fara
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  3. Paul Sterian
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  4. Andreea Bobei
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  5. Florin Dragan
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Corresponding author

Correspondence to Laurentiu Fara .

Editor information

Editors and Affiliations

  1. Transilvania University of Brasov, Brasov, Romania

    Ion Visa

  2. Transilvania University of Brasov, Brasov, Romania

    Anca Duta

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Craciunescu, D., Fara, L., Sterian, P., Bobei, A., Dragan, F. (2018). Optimized Management for Photovoltaic Applications Based on LEDs by Fuzzy Logic Control and Maximum Power Point Tracking. In: Visa, I., Duta, A. (eds) Nearly Zero Energy Communities. CSE 2017. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-63215-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-63215-5_23

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-63215-5

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