Özet:

In order to increase efficiency in photovoltaic systems (PV), maximum power point tracking (MPPT) is performed with the help of power electronic converters. While MPPT is performed in uniformly distributed radiation conditions, one of the traditional algorithms, perturb and observe (P&O) algorithm is very efficient. However, when partial shading conditions occur, this algorithm cannot find global maximum power points and caught to local maximum power points. In contrast, nature inspired metaheuristic algorithms such as particle swarm optimization (PSO) and cuckoo search optimization (CSO) algorithm are more successful in finding the global maximum. In this study, a system consisting of photovoltaic array, DC-DC boost converter and load has been developed in MATLAB/SIMULINK. Using this system, MPPT was performed with P&O, PSO and CSO algorithms under partial shading conditions and comparative analysis of these algorithms was performed. These algorithms were compared with three different partial shading configurations for tracking time and accuracy. As a result of the simulations, the P&O algorithm caught to a local point, while the PSO and CSO algorithms were successful in finding the global point. When PSO and GKO algorithm are compared, it is seen that CSO algorithm reaches global point faster than PSO algorithm.

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