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

Abstract

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.