A Comparative Study Between Perturb and Observe and Cuckoo Search Algorithm for Maximum Power Point Tracking

The Photovoltaic system is a sustainable renewable resource that attracts the attention of analysts in current decades. As the ambient conditions change over time as temperature and radiation rise, therefore, the productive power of the system is affected. Since the efficiency of this system is low due to these changes, and to get away from that must use a device called maximum power point tracking. maximum power point tracking is a programmable control technology used to achieve the best power harvest imaginable. This paper clarifies the improvement of one of the techniques of maximum power point tracking in PV systems under varies irradiance and temperature. The new technique consolidates the utilization of traditional perturb and observe method for maximum power point tracking during the underlying phases of tracking and afterward utilizes the cuckoo search algorithm at the final stages in order to detect the best operating duty cycle that controlled the boost converter. The integration between these two methods are appeared to yield quicker convergence to the maximum power point, which will be more efficient than the two techniques are independently utilized and that increased the performance of the system.