Kısmen gölgeli koşullar altında fotovoltaik sistemde değiştirilmiş gri kurt optimizasyon algoritmasına dayalı bir mppt sisteminin tasarımı

The device is not generating pollution and can be built anywhere even in remote areas, and photovoltaics are becoming very common. Nevertheless, it is difficult to achieve optimal and reliable power by using photovoltaics. So, facing these difficulties, this article proposes to monitor the photovoltaic system's global optimum power point for partial shading with a Modified Gray Wolf Optimizer (MGWO) based maximum power point tracking algorithm. A PV device mathematical model is developed using a single model and MGWO is used to measure the world's maximum power point. A photovoltaic system includes deciding which converter is used to increase photovoltaic power generation. The MPPT architecture uses modified gray wolf optimization algorithm to quickly track the output power and reduce photovoltaic oscillations. The efficiency of the maximum power tracker is better than the GWO algorithm of up to 0,4 s with the modified gray wolf optimization algorithm. Converters are used to resolve the power losses often occurring in PV systems with a soft-buck converter process. The output of the power generator is greater than the soft-switching buck converter. If the performance of PV systems is compared with the gray wolf optimization algorithm Increased, the incidence of the conductance algorithm increases.