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Publication Type : Book Chapter
Publisher : Advances in Power Systems and EnergyManagement
Source : Advances in Power Systems and EnergyManagement, Lecture Notes in Electrical Engineering, Vol. 436, pp. 275-284, 2018. (Springer) (Scopus indexed)
Url : https://link.springer.com/chapter/10.1007/978-981-10-4394-9_28
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro-fuzzy inference system (ANFIS) based maximum power point tracking to track the optimum maximum power from PV system. This article also points out the performance of the boost converter and modified Single-Ended Primary-Inductor Converter (SEPIC) using above two techniques for PV. P&O and ANFIS techniques are used to generate duty cycle of DC/DC converters. The study is performed by using MATLAB/Simulink with the rating of 200 W PV and it has been observed that the modified SEPIC converter based ANFIS produces superior results compared with classical boost converter.
Cite this Research Publication : S. Saravanan, N. Ramesh Babu and P. Sanjeevikumar , “Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System” Advances in Power Systems and EnergyManagement, Lecture Notes in Electrical Engineering, Vol. 436, pp. 275-284, 2018. (Springer) (Scopus indexed)