M.Sc. Tezi Görüntüleme | |||||||||||||||||||||
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Summary: Electricity generation from solar energy is gaining importance day by day. The installation of large power PV systems are costly and requires optimized operation forenergy efficiency and cost reduction. Since the power obtained from photovoltaic panels varies depending on the environmental factors, it does not always give the same powervalue during a day. In addition, when solar radiation value at each panel is not equal, a shading condition occurs, resulting in large power losses. One of the most effective methodscommonly used to eliminate these negative effects is the one called maximum power point tracking.In this thesis, the effect of shading is analyzed in grid connected photovoltaic systems and power losses due to shading are reduced. Symbiotic Organism Search and WhaleOptimization Algorithms are used to optimize the losses. The proposed methods are modelled in MATLAB and used with grid connected PV system, which is simulated inSIMULINK. Results are compared with the studies in literature and performances of the proposed methods are evaluated. Simulation results show considerable improvements inpower loss reduction and acceptable performance on MPP tracking. |