A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid

Feby Agung Pamuji; Hajime Miyauchi

doi:10.1109/ISITIA.2016.7828688

A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid

Feby Agung Pamuji
, Hajime Miyauchi

Kumamoto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	369-372
Number of pages	4
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828688
Publication status	Published - 20 Jan 2017
Externally published	Yes
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy Logic controller
Maximum Power Point Tracking
Optimum Voltage

Access to Document

10.1109/ISITIA.2016.7828688

Cite this

Pamuji, F. A., & Miyauchi, H. (2017). A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 369-372). Article 7828688 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828688

Pamuji, Feby Agung ; Miyauchi, Hajime. / A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 369-372 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

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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",

}

Pamuji, FA & Miyauchi, H 2017, A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828688, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 369-372, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828688

A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid. / Pamuji, Feby Agung; Miyauchi, Hajime.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 369-372 7828688 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid

AU - Pamuji, Feby Agung

AU - Miyauchi, Hajime

PY - 2017/1/20

Y1 - 2017/1/20

N2 - 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.

AB - 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.

KW - Fuzzy Logic controller

KW - Maximum Power Point Tracking

KW - Optimum Voltage

UR - https://www.scopus.com/pages/publications/85016816952

U2 - 10.1109/ISITIA.2016.7828688

DO - 10.1109/ISITIA.2016.7828688

M3 - Conference contribution

AN - SCOPUS:85016816952

T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

SP - 369

EP - 372

BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

Y2 - 28 July 2016 through 30 July 2016

ER -

Pamuji FA, Miyauchi H. A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 369-372. 7828688. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828688

A new control design of maximum power point tracking by fuzzy logic controller for wind turbine connected to low voltage grid

Abstract

Publication series

Conference

UN SDGs

Keywords

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