MPPT AND CONTROLLER DESIGN USING METAHEURISTIC ALGORITHMS FOR A BUCK-BOOST CONVERTER CONNECTED TO A PV PANEL

Authors : Murat Erhan Çimen, Ali Kuyumcu, Kadir Yasin Sunca, Yaprak Yalçın, Akif Akgül, Ali Fuat Boz

Pages : 110-126

Doi:10.58769/joinssr.1792463

View : 144 | Download : 274

Publication Date : 2025-12-18

Article Type : Research Paper

Abstract :In recent years, the increasing energy demand and the depletion of fossil fuels have driven researchers to focus on renewable energy sources. In this context, the efficient control of DC-DC power converters connected to photovoltaic (PV) panels—commonly used for solar energy generation—has become increasingly important. This study employs the recently developed Artificial Hummingbird Algorithm (AHA) and the Cheetah Optimization Algorithm (CO) to optimally control a Buck-Boost converter coupled with a PV panel. Both AHA and COA are applied to enhance control performance based on the Integral of Time-Weighted Squared Error (ITSE) criterion by tracking the maximum power point (MPPT) of the PV panel under varying temperature and irradiance conditions. The algorithm optimizes the parameters of the Proportional–Integral (PI) controller used in the converter, thereby improving the system’s dynamic response. The findings demonstrate that the proposed approach delivers faster, more stable, and more accurate performance.
Keywords : Metasezgisel Algoritmalar, PV Panel, Buck-Boost Dönüştürücü, MPPT.

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