Farid BERREZZEK, Khaled KHELIL and Tahar bouadjila (2020) Efficient MPPT scheme for a photovoltaic generator using neural network. The First International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020) , el-oued, algeria
Scientific Publications
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Abstract
Maximum power point tracking (MPPT) is a widely used technique to achieve an efficient photovoltaic system in unstable climatic conditions of solar irradiation and temperature. This paper examines the issue of improving the efficiency of a photovoltaic generator (GPV) using an artificial neural network (ANN) based MPPT scheme. Generally, PV modules exhibit nonlinear I −V characteristics with different MPPs depending on the solar irradiation and temperature. To ensure a maximum power transfer to the load form the GPV, it has to operate at its MPP. This is accomplished through
matching impedance between the PV panel and the load using a DC-DC boost converter whose duty cycle is adjusted by artificial neural networks. With respect to the well known perturb and
observe (P&O) MPPT, the obtained simulation results show that the considered ANN based approach is more efficient and oscillations around the MPP are significantly reduced.
matching impedance between the PV panel and the load using a DC-DC boost converter whose duty cycle is adjusted by artificial neural networks. With respect to the well known perturb and
observe (P&O) MPPT, the obtained simulation results show that the considered ANN based approach is more efficient and oscillations around the MPP are significantly reduced.
Information
Item Type | Conference |
---|---|
Divisions |
» Laboratory of Electrical Engineering,Electronic and Renewable Energy » Faculty of Science and Technology |
ePrint ID | 2472 |
Date Deposited | 2020-12-20 |
Further Information | Google Scholar |
URI | https://univ-soukahras.dz/en/publication/article/2472 |
BibTex
@inproceedings{uniusa2472,
title={Efficient MPPT scheme for a photovoltaic generator using neural network},
author={Farid BERREZZEK, Khaled KHELIL and Tahar bouadjila},
year={2020},
booktitle={The First International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020)}
}
title={Efficient MPPT scheme for a photovoltaic generator using neural network},
author={Farid BERREZZEK, Khaled KHELIL and Tahar bouadjila},
year={2020},
booktitle={The First International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020)}
}