Samosir, Ahmad Saudi and Gusmedi, Herri (2017) Modeling and Simulation of Fuzzy Logic Based Maximum Power Point Tracking (MPPT) for PV Application. International Journal of Electrical and Computer Engineering (IJECE). ISSN 2088-8708 (Submitted)

[img] Text
IJECE_Paper 2017.pdf

Download (3MB)

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
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: Dr. Ahmad Saudi Samosir
Date Deposited: 07 Nov 2017 07:16
Last Modified: 07 Nov 2017 07:16
URI: http://repository.lppm.unila.ac.id/id/eprint/4606

Actions (login required)

View Item View Item