Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system

Son Nguyen Thanh; Hoa Ha Xuan; Cong Nguyen The; Phi Pham Hung; Pham Van Tuan; Ralph Kennel

doi:10.1109/ICSET.2016.7811803

Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system

Son Nguyen Thanh, Hoa Ha Xuan, Cong Nguyen The, Phi Pham Hung, Pham Van Tuan, Ralph Kennel

Lehrstuhl für Hochleistungs-Umrichtersysteme

Hanoi University of Science and Technology

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

4 Zitate (Scopus)

Abstract

This paper describes the use of fuzzy logic to develop a simple and reliable maximum power point tracking (MPPT) technique for a stand-Alone wind energy system. The system includes a wind turbine without the use of a gearbox, a permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC-DC boost converter. The simulation results obtained by using MATLAB/Simulink show that the proposed MPPT method always results in the maximum output power corresponding to the current wind speed.

Originalsprache	Englisch
Titel	2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016
Herausgeber (Verlag)	IEEE Computer Society
Seiten	320-325
Seitenumfang	6
ISBN (elektronisch)	9781509052004
DOIs	https://doi.org/10.1109/ICSET.2016.7811803
Publikationsstatus	Veröffentlicht - 9 Jan. 2017
Veranstaltung	4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016 - Hanoi, Vietnam Dauer: 14 Nov. 2016 → 16 Nov. 2016

Publikationsreihe

Name	IEEE International Conference on Sustainable Energy Technologies, ICSET
Band	0
ISSN (Print)	2165-4387
ISSN (elektronisch)	2165-4395

Konferenz

Konferenz	4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016
Land/Gebiet	Vietnam
Ort	Hanoi
Zeitraum	14/11/16 → 16/11/16

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Thanh, S. N., Xuan, H. H., The, C. N., Hung, P. P., Van Tuan, P., & Kennel, R. (2017). Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system. in 2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016 (S. 320-325). Artikel 7811803 (IEEE International Conference on Sustainable Energy Technologies, ICSET; Band 0). IEEE Computer Society. https://doi.org/10.1109/ICSET.2016.7811803

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title = "Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system",

abstract = "This paper describes the use of fuzzy logic to develop a simple and reliable maximum power point tracking (MPPT) technique for a stand-Alone wind energy system. The system includes a wind turbine without the use of a gearbox, a permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC-DC boost converter. The simulation results obtained by using MATLAB/Simulink show that the proposed MPPT method always results in the maximum output power corresponding to the current wind speed.",

keywords = "Stand-Alone wind energy system, fuzzy logic, maximum power point tracking (MPPT)",

author = "Thanh, {Son Nguyen} and Xuan, {Hoa Ha} and The, {Cong Nguyen} and Hung, {Phi Pham} and {Van Tuan}, Pham and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016 ; Conference date: 14-11-2016 Through 16-11-2016",

year = "2017",

month = jan,

day = "9",

doi = "10.1109/ICSET.2016.7811803",

language = "English",

series = "IEEE International Conference on Sustainable Energy Technologies, ICSET",

publisher = "IEEE Computer Society",

pages = "320--325",

booktitle = "2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016",

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Thanh, SN, Xuan, HH, The, CN, Hung, PP, Van Tuan, P & Kennel, R 2017, Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system. in 2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016., 7811803, IEEE International Conference on Sustainable Energy Technologies, ICSET, Bd. 0, IEEE Computer Society, S. 320-325, 4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016, Hanoi, Vietnam, 14/11/16. https://doi.org/10.1109/ICSET.2016.7811803

Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system. / Thanh, Son Nguyen; Xuan, Hoa Ha; The, Cong Nguyen et al.
2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016. IEEE Computer Society, 2017. S. 320-325 7811803 (IEEE International Conference on Sustainable Energy Technologies, ICSET; Band 0).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system

AU - Thanh, Son Nguyen

AU - Xuan, Hoa Ha

AU - The, Cong Nguyen

AU - Hung, Phi Pham

AU - Van Tuan, Pham

AU - Kennel, Ralph

PY - 2017/1/9

Y1 - 2017/1/9

N2 - This paper describes the use of fuzzy logic to develop a simple and reliable maximum power point tracking (MPPT) technique for a stand-Alone wind energy system. The system includes a wind turbine without the use of a gearbox, a permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC-DC boost converter. The simulation results obtained by using MATLAB/Simulink show that the proposed MPPT method always results in the maximum output power corresponding to the current wind speed.

AB - This paper describes the use of fuzzy logic to develop a simple and reliable maximum power point tracking (MPPT) technique for a stand-Alone wind energy system. The system includes a wind turbine without the use of a gearbox, a permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC-DC boost converter. The simulation results obtained by using MATLAB/Simulink show that the proposed MPPT method always results in the maximum output power corresponding to the current wind speed.

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KW - fuzzy logic

KW - maximum power point tracking (MPPT)

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DO - 10.1109/ICSET.2016.7811803

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BT - 2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016

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Thanh SN, Xuan HH, The CN, Hung PP, Van Tuan P, Kennel R. Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system. in 2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016. IEEE Computer Society. 2017. S. 320-325. 7811803. (IEEE International Conference on Sustainable Energy Technologies, ICSET). doi: 10.1109/ICSET.2016.7811803

Fuzzy logic based maximum power point tracking technique for a stand-Alone wind energy system

Abstract

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