@inproceedings{216a5d7ea5ea4d949e42ca6a58b202b8,
title = "Maximum Power Point Tracking (MPPT) Algorithm Simulation Based on Fuzzy Logic Controller on Solar Cell with Boost Converter",
abstract = "A Solar Panel has one distinct point where maximum power generated. It is called Maximum Power Point (MPP). MPP is affected by the changes in environmental factors such as sun irradiation and temperature. In order to obtain maximum power from solar cells continuously, it has to work on its maximum power point despite the inevitable changes in environment. This is why the applied controllers on solar panels employ Maximum Power Point Tracking (MPPT) algorithm. The objective of this study is to design MPPT method based on Fuzzy Logic Controller (FLC) using boost converter which able to reach MPP in a short period of time and to adapt with changing environmental conditions quickly. The design is based on study literature and simulation. The results prove the FLC MPPT is able to detect and reach MPP under slow and fast changes in irradiance.",
keywords = "MPPT, boost converter, fuzzy logic controller, solar cell",
author = "Dahlia Canny and Feri Yusivar",
year = "2018",
month = nov,
day = "20",
doi = "10.1109/ICSGSC.2018.8541325",
language = "English",
series = "2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "117--121",
booktitle = "2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018",
address = "United States",
note = "2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018 ; Conference date: 12-08-2018 Through 14-08-2018",
}