Comparative Simulation of Both PSO and GWO Algorithms Based MPPT Technique for PV Module under MATLAB/Simulink

Dalila Yessad; Souhila Hadef; Seloua Bouchekouf; Abdeldjouad Touahria; Hocine Guentri

Dalila Yessad Department of Mechanical and Electromechanical Engineering, Faculty of Sience and Technology, University Centre Abdelhafid Boussouf Mila, Mila, Algeria
Souhila Hadef Department of Mechanical and Electromechanical Engineering, Faculty of Sience and Technology, University Centre Abdelhafid Boussouf Mila, Mila, Algeria
Seloua Bouchekouf Department of Mechanical and Electromechanical Engineering, Faculty of Sience and Technology, University Centre Abdelhafid Boussouf Mila, Mila, Algeria
Abdeldjouad Touahria Department of Mechanical and Electromechanical Engineering, Faculty of Sience and Technology, University Centre Abdelhafid Boussouf Mila, Mila, Algeria
Hocine Guentri Department of Mechanical and Electromechanical Engineering, Faculty of Sience and Technology, University Centre Abdelhafid Boussouf Mila, Mila, Algeria

Keywords: PV array, MPPT control, PSO algorithm, GWO algorithm, Matlab

Abstract

Solar panels, also known as photovoltaic (PV) panels, indeed play a significant role in the global energy supply by converting sunlight into electrical energy through the photovoltaic effect. This process involves the generation of electric current when sunlight interacts with the semiconductor material in the solar cells. The efficiency of solar panels in converting sunlight into electricity is influenced by various factors, including the intensity of sunlight, temperature, and the characteristics of the solar cells themselves. High levels of sunlight intensity and lower temperatures typically lead to better efficiency. One crucial advancement in solar panel technology is the development of Maximum Power Point Tracking (MPPT) technique. This strategy seeks to maximize the solar panels' overall output and efficiency. With MPPT technology, solar panels are guaranteed to run at their Maximum Power Point (MPP). This particular point denotes the ideal state in which, under particular circumstances, the panel produces the most electricity. In order to accomplish this optimization, MPPT systems continually modify the voltage and current of the solar panels in response to shifting environmental conditions. This work compares, the performance of two different MPPT algorithms: the Particle Swarm Optimization (PSO) strategy and the Grey Wolf Optimization (GWO) strategy using Matlab/Simulink 2019a version.