Samosir, Ahmad Saudi and Gusmedi, Herri and Purwiyanti, Sri and Komalasari, Endah (2018) Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application. International Journal of Electrical and Computer Engineering (IJECE), 8 (3). pp. 1315-1323. ISSN 088-8708

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Abstract

This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.

Item Type: Article
Uncontrolled Keywords: Fuzzy logic algorithm Maximum power point tracking MPPT Photovoltaic Simulink
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: Dr. Sri Purwiyanti
Date Deposited: 03 Nov 2018 09:12
Last Modified: 03 Nov 2018 09:12
URI: http://repository.lppm.unila.ac.id/id/eprint/9277

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