Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system

Irwan Mahmudi; Ratna Ika Putri; Margo Pujiantara; Ardyono Priyadi; Mauridhi Hery Purnomo

doi:10.1109/ISITIA.2016.7828719

Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system

Irwan Mahmudi
, Ratna Ika Putri
, Margo Pujiantara
, Ardyono Priyadi
, Mauridhi Hery Purnomo

Institut Teknologi Sepuluh Nopember

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

1 Citation (Scopus)

Abstract

To increase efficiency of wind power system, the system have to work at maximum power. This paper proposes a new modification of the algorithms firefly by updating the coefficient β and neglected α and γ to get the maximum power from the wind turbines use a permanent magnet synchronous generator. The method differs from the standard firefly just ignore α and γ to accelerate convergence alone. The simulation with modified FA results compared with modified perturb and observe (P&O) and standard Firefly. Convergence process of the proposed algorithm is faster and more efficient in tracking the point of maximum peak. Ripple in steady state conditions are also lower than standard FA and Modified P & O. The average efficiency and convergence time that achieved by using modified firefly are 99,03% and 1,83s.

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	551-556
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828719
Publication status	Published - 20 Jan 2017
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

Maximum Power Point Tracking (MPPT)
Modified Firefly Algorithm (MFA)
Permanent magnet sychronous generator (PMSG)
Simplified Firefly Algorithm (SFA)
Wind Turbine System

Access to Document

10.1109/ISITIA.2016.7828719

Cite this

Mahmudi, I., Putri, R. I., Pujiantara, M., Priyadi, A., & Purnomo, M. H. (2017). Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 551-556). Article 7828719 (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.2016.7828719

Mahmudi, Irwan ; Putri, Ratna Ika ; Pujiantara, Margo et al. / Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system. 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. 551-556 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

@inproceedings{9b6cebb49864470bbdc0992dc0a9438e,

title = "Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system",

abstract = "To increase efficiency of wind power system, the system have to work at maximum power. This paper proposes a new modification of the algorithms firefly by updating the coefficient β and neglected α and γ to get the maximum power from the wind turbines use a permanent magnet synchronous generator. The method differs from the standard firefly just ignore α and γ to accelerate convergence alone. The simulation with modified FA results compared with modified perturb and observe (P\&O) and standard Firefly. Convergence process of the proposed algorithm is faster and more efficient in tracking the point of maximum peak. Ripple in steady state conditions are also lower than standard FA and Modified P \& O. The average efficiency and convergence time that achieved by using modified firefly are 99,03\% and 1,83s.",

keywords = "Maximum Power Point Tracking (MPPT), Modified Firefly Algorithm (MFA), Permanent magnet sychronous generator (PMSG), Simplified Firefly Algorithm (SFA), Wind Turbine System",

author = "Irwan Mahmudi and Putri, \{Ratna Ika\} and Margo Pujiantara and Ardyono Priyadi and Purnomo, \{Mauridhi Hery\}",

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.2016.7828719",

language = "English",

series = "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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booktitle = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016",

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}

Mahmudi, I, Putri, RI, Pujiantara, M , Priyadi, A & Purnomo, MH 2017, Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828719, 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. 551-556, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828719

Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system. / Mahmudi, Irwan; Putri, Ratna Ika; Pujiantara, Margo et al.
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. 551-556 7828719 (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 - Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system

AU - Mahmudi, Irwan

AU - Putri, Ratna Ika

AU - Pujiantara, Margo

AU - Priyadi, Ardyono

AU - Purnomo, Mauridhi Hery

PY - 2017/1/20

Y1 - 2017/1/20

N2 - To increase efficiency of wind power system, the system have to work at maximum power. This paper proposes a new modification of the algorithms firefly by updating the coefficient β and neglected α and γ to get the maximum power from the wind turbines use a permanent magnet synchronous generator. The method differs from the standard firefly just ignore α and γ to accelerate convergence alone. The simulation with modified FA results compared with modified perturb and observe (P&O) and standard Firefly. Convergence process of the proposed algorithm is faster and more efficient in tracking the point of maximum peak. Ripple in steady state conditions are also lower than standard FA and Modified P & O. The average efficiency and convergence time that achieved by using modified firefly are 99,03% and 1,83s.

AB - To increase efficiency of wind power system, the system have to work at maximum power. This paper proposes a new modification of the algorithms firefly by updating the coefficient β and neglected α and γ to get the maximum power from the wind turbines use a permanent magnet synchronous generator. The method differs from the standard firefly just ignore α and γ to accelerate convergence alone. The simulation with modified FA results compared with modified perturb and observe (P&O) and standard Firefly. Convergence process of the proposed algorithm is faster and more efficient in tracking the point of maximum peak. Ripple in steady state conditions are also lower than standard FA and Modified P & O. The average efficiency and convergence time that achieved by using modified firefly are 99,03% and 1,83s.

KW - Maximum Power Point Tracking (MPPT)

KW - Modified Firefly Algorithm (MFA)

KW - Permanent magnet sychronous generator (PMSG)

KW - Simplified Firefly Algorithm (SFA)

KW - Wind Turbine System

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U2 - 10.1109/ISITIA.2016.7828719

DO - 10.1109/ISITIA.2016.7828719

M3 - Conference contribution

AN - SCOPUS:85016813640

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

SP - 551

EP - 556

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 -

Mahmudi I, Putri RI, Pujiantara M , Priyadi A , Purnomo MH. Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system. 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. 551-556. 7828719. (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.2016.7828719

Modified firefly algorithm for maximum power point tracking of a small stand alone wind power system

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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