| publication name | Comparative study of the most efficient maximum power point tracking techniques for a photovoltaic system |
|---|---|
| Authors | IM Abdel-Qawee, HG Hamed, Maged NF Nashed, Ayman Y Yousef, Khaled M Hasaneen |
| year | 2020 |
| keywords | Fuzzy logic control Genetic algorithm Incremental conductance MPPT Photovoltaic |
| journal | International Journal of Advances in Applied Sciences (IJAAS) |
| volume | 8 |
| issue | 1 |
| pages | 73-82 |
| publisher | International Journal of Advances in Applied Sciences (IJAAS) |
| Local/International | International |
| Paper Link | http://iaescore.com/online/index.php/IJAAS |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an important challenge which faces this system. In this paper, a comparative study between two high efficient MPPT control techniques is presented. These techniques are based on the incremental conductance (IC) method. The first technique is based on optimized PI-controller gains and the other is based on Fuzzy Logic Control (FLC). The comparison between the algorithms is investigated under different environmental conditions. The comparison criteria which are taken into consideration are: the percentage tracking factor (%TF), the tracking time, the ripple voltage in the steady-state, the dynamic response, and the complexity of implementation.