@inproceedings{9a1b4757ba384ec3b364aa124f2f0c3c,
title = "A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid",
abstract = "This paper proposed a new control method based on fuzzy logic controller to control the maximum power point tracking in wind turbine system connected to the low voltage grid. To achieve maximum power conditions, the wind turbine must be at the optimum voltage conditions, to shift the actual voltage to the optimum voltage is used boost converter. The simulation shows that the power of wind turbine can be increased 51.11%, quality voltage and frequency to be better by using this new control.",
keywords = "Fuzzy Logic controller, Maximum Power Point Tracking, Optimum Voltage",
author = "Pamuji, {Feby Agung} and Hajime Miyauchi",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 ; Conference date: 28-07-2016 Through 30-07-2016",
year = "2017",
month = jan,
day = "20",
doi = "10.1109/ISITIA.2016.7828688",
language = "English",
series = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "369--372",
booktitle = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016",
address = "United States",
}
