Comparison of Maximum Power Point Tracking Methods Using Metaheuristic Optimization Algorithms for Photovoltaic Systems

Authors : Necati BİLGİN, İrfan YAZİCİ

Pages : 1075-1085

Doi:10.16984/saufenbilder.936254

View : 29 | Download : 12

Publication Date : 2021-08-30

Article Type : Research Paper

Abstract :The maximum power value that can be obtained from photovoltaic systems can change continuously due to environmental conditions such as temperature, sunlight and partial shading. Direct current-direct current insert ignore into journalissuearticles values(DC-DC); converters and maximum power point tracking insert ignore into journalissuearticles values(MPPT); algorithms are required, especially in cases of partial shading, in order for the photovoltaic systems to operate at the maximum power point, that is, to draw the maximum possible power value from the system. In this study, simulation studies has been carried out for two different partially shaded scenarios using the boost-type DC-DC converter and MPPT algorithm in the PV array consisting of 3 panels connected in series. In the simulation studies, the output powers obtained by the application of particle swarm optimization, cuckoo optimization, bat optimization and firefly optimization techniques as MPPT algorithm has been compared. In the scenarios examined, the firefly optimization algorithm reached the maximum power point faster, and it has been observed that the firefly optimization method obtained the highest average power at the end of the simulation periods.
Keywords : Photovoltaic system, partially shaded condition, MPPT, optimization algorithms, DC DC converter