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Fuzzy-Direct Power Control of a Grid Connected Photovoltaic System Associate with Shunt Active Power Filter

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Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

Abstract

The present paper suggests a simulation study for a grid connected photovoltaic system, associated to a shunt active power filter (SAPF). On the one hand, to extract the maximum power from the PV generator a fuzzy logic Maximum power taking point (MPPT) is proposed in order to track permanently the optimum point. On the other hand, direct power control (DPC) is used to control the shunt active power filter in order to compensate the undesirable harmonic. The simulation of the system under the Matlab/SimulinkTM environment demonstrates the robustness of the proposed controls that simultaneously guarantee harmonic current compensation, unit power factor operation and injection of solar power to the power grid.

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Author information

Authors and Affiliations

  1. Electrical Engineering Laboratory (LGEB), University of Mohammed Khider Biskra, Biskra, Algeria

    Sabir Ouchen, Achour Betka & Sabrina Abdeddaim

  2. Laboratory of Computer Science and Automatic Control for Systems (LIAS-ENSIP), University of Poitiers, Poitiers, France

    Jean Paul Gaubert

  3. Electrical Engineering Laboratory LEB, University of Batna 2, Batna, Algeria

    Farida Mazouz

Authors
  1. Sabir Ouchen
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  2. Achour Betka
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  3. Jean Paul Gaubert
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  4. Sabrina Abdeddaim
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  5. Farida Mazouz
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Corresponding author

Correspondence to Sabir Ouchen .

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Editors and Affiliations

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

    Mustapha Hatti

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Ouchen, S., Betka, A., Gaubert, J.P., Abdeddaim, S., Mazouz, F. (2018). Fuzzy-Direct Power Control of a Grid Connected Photovoltaic System Associate with Shunt Active Power Filter. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

  • eBook Packages: EngineeringEngineering (R0)

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