Optimizing The Performance Of Photovoltaic Systems Under Non-uniform Irradiance Using ANN-MPPT Algorithm
Khafagy, Mohamed A.; Abdellatif, Sameh O.; Swief, Rania; Ghali, Hani A.;
Abstract
Photovoltaic (PV) systems are usually designed based on the standard operating condition in a specific location. However, harsh environmental conditions impact the PV array during regular operation. One of these harsh conditions can be the non-uniform irradiance spatially or temporally. Herein, the maximum power point tracking (MPPT) systems are essential in maintaining the operation under the maximum possible conditions. Artificial neural network (ANN) techniques have attracted researchers' attention as an up-to-date artificial alternative in MPPT algorithms. We demonstrated two PV systems, on-grid and off-grid, with a power capacity of 5 kW. The proposed ANN model showed enhanced performance concerning conventional ones with a minimum response time of 0.0075 se
Other data
| Title | Optimizing The Performance Of Photovoltaic Systems Under Non-uniform Irradiance Using ANN-MPPT Algorithm | Authors | Khafagy, Mohamed A.; Abdellatif, Sameh O.; Swief, Rania ; Ghali, Hani A. | Keywords | ANN model;DC-DC converters;MPPT;nonuniform irradiance;Photovoltaic system | Issue Date | 1-Jan-2023 | Conference | IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023 | ISBN | [9781665452335] | DOI | 10.1109/CPERE56564.2023.10119640 | Scopus ID | 2-s2.0-85160200704 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.