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Authors: Layachi Zaghba ; Messaouda Khennane ; Abdelhalim Borni ; Idriss Hadj Mahamed ; Amor Fezzani and Abdelhak Bouchakour

Affiliation: Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Algeria, Algeria

Keyword(s): neural network; boost converter, MPPT control; grid‐connected photovoltaic system; dual‐axis tracking; fixed array.

Abstract: This paper study a performance comparison between 6 kWc dual-axis tracking system and an identical fixed inclination system on a sunny day (City of Ghardaia in South of Algeria) based on the MPPT approach of artificial neural networks. The first goal of this work is to extract the maximum power point of the photovoltaic group. The second objective, a comparison between dual-axis tracking system and an identical fixed inclination system is conducted. Simulation is carried out in Matlab/Simulink and the results show the excellent performance, high efficiency, low error, very short response of the neural network approach compared to a classical method (P&O). Results are reported to show also the effectiveness of the tracking system of about 25% in energy efficiency, therefore is confirming the economic importance of this type of system.

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Paper citation in several formats:
Zaghba, L.; Khennane, M.; Borni, A.; Mahamed, I.; Fezzani, A. and Bouchakour, A. (2020). Intelligent MPPT Control of Stationary and Dual-axis Tracking Grid-connected Photovoltaic System. In Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE; ISBN 978-989-758-431-2, SciTePress, pages 199-205. DOI: 10.5220/0009772901990205

@conference{iccsre20,
author={Layachi Zaghba. and Messaouda Khennane. and Abdelhalim Borni. and Idriss Hadj Mahamed. and Amor Fezzani. and Abdelhak Bouchakour.},
title={Intelligent MPPT Control of Stationary and Dual-axis Tracking Grid-connected Photovoltaic System},
booktitle={Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE},
year={2020},
pages={199-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009772901990205},
isbn={978-989-758-431-2},
}

TY - CONF

JO - Proceedings of the 1st International Conference of Computer Science and Renewable Energies - ICCSRE
TI - Intelligent MPPT Control of Stationary and Dual-axis Tracking Grid-connected Photovoltaic System
SN - 978-989-758-431-2
AU - Zaghba, L.
AU - Khennane, M.
AU - Borni, A.
AU - Mahamed, I.
AU - Fezzani, A.
AU - Bouchakour, A.
PY - 2020
SP - 199
EP - 205
DO - 10.5220/0009772901990205
PB - SciTePress

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