• google scholor

  • Views: 3162

  • PDF Downloads: 134

MPPT for Photovoltaic System Located in Latakia Province - Syria by Using Genetic Algorithm

Hassan Kenjrawy1 , Carlo Makdisie1 , Issam Housamo1 and Hassan Haes Alhelou1, 2, 3 *

Corresponding author Email: Hassan.a.kenjrawy@gmail.com

DOI: http://dx.doi.org/10.12944/CWE.14.1.16

The use of renewable resources for energizing the modern power systems has recently increased due to its sustainability and low operating costs. Photovoltaic (PV) system appears to be a good solution due to the fact that it can be established and operated locally. However, the maximum output power of these systems is usually achieved by using the maximum sun and power point (MPP) tracking techniques. This paper suggests a novel genetic algorithm (GA)-based technique to obtain the maximum output power of practical PV system located in the Latakia province of Syria. Based on this technique, azimuth and elevation angles of solar panels located in Latakia are first determined to track maximum radiation of the sun for every day of the whole year. After that, a GA-based technique is developed to track the maximum power point corresponding to maximum radiation during the year. Simulation results in MATLAB environment demonstrate the validation and effectiveness of the proposed GA-based technique to obtain the maximum generated power of the PV system. The results of this research can be easily adopted as a database reference to design the PV control system.

Genetic Algorithm; Maximum Power Point Tracking; Photovoltaic System; Sun Tracking

Copy the following to cite this article:

Kenjrawy H, Makdisie C, Housamo I, Alhelou H. H. MPPT for Photovoltaic System Located in Latakia Province - Syria by Using Genetic Algorithm. Curr World Environ 2019;14(1).  DOI:http://dx.doi.org/10.12944/CWE.14.1.16

Copy the following to cite this URL:

Kenjrawy H, Makdisie C, Housamo I, Alhelou H. H. MPPT for Photovoltaic System Located in Latakia Province - Syria by Using Genetic Algorithm. Curr World Environ 2019;14(1). Available from: https://bit.ly/2H3wvKD

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.