Desıgn And Implementatıon Of Gray Wolf Optımızatıon Method Based Maxımum Power Poınt Trackıng Algorıthm For Photovoltaıc Systems

Thesis Type: Postgraduate

Institution Of The Thesis: Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Turkey

Approval Date: 2019


Supervisor: İBRAHİM SEFA


Photovoltaic systems in renewable energy sources are being widespread due to their advantages such as being designed in desired power values, not producing noise and being independent of geography. In recent years, with a significant reduction in their costs, the utilization rate is increasing. As one of the most important features of PV modules is their transformation efficiency according to the working point, it is concentrated on the methods that will allow maximum efficiency to be obtained from the modules at any time. In this study, a new MPPT method has been applied to the existing Maximum Power Point Tracking (MPPT) methods in order to ensure the highest efficiency of PV panels. For this purpose, Grey Wolf Optimization (GWO) algorithm, which is a strong optimization algorithm introduced in recent years, is adapted to provide maximum power point tracking. The DC-DC boost converter is designed for high-efficiency transfer of DC energy generated by the PV system. The current and voltage produced from PV modules are read out instantly and the power value is calculated and the maximum power point can be followed by the developed GWO-based MPPT method. The Duty Cycle is calculated for the switching of the boost converter which is by the algorithm. MATLAB / Simulink environment, amplifier type circuit structure, PV modules, GWO and designed for comparison purposes using perturb and observe and Particle Swarm Optimization MPPT methods were compared using the results. In this study, GWO algorithm is expected to give faster and more stable results compared to other methods.