Parameter identification of wind turbine for maximum power-point tracking control

Abdul Motin Howlader; Naomitsu Urasaki; Kousuke Uchida; Atsushi Yona; Tomonobu Senjyu; Chul Hwan Kim; A. Y. Saber

doi:10.1080/15325000903376974

Parameter identification of wind turbine for maximum power-point tracking control

Abdul Motin Howlader
, Naomitsu Urasaki
, Kousuke Uchida
, Atsushi Yona
, Tomonobu Senjyu
, Chul Hwan Kim
, A. Y. Saber

Department of Electronic and Electrical Engineering

University of the Ryukyus
Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

In this article, a technique is proposed for maximum power-point tracking control of a wind generation system. The optimal operation speed to which the wind turbine output power maximizes is determined with parameters identified by an iterative least squares technique. The effectiveness of the maximum point tracking control with identified parameters of wind turbine is verified by computer simulation. In addition, the article discusses how to address rotational speed and output power in the case when the wind turbine parameters used for determining the optimum rotational speed have errors.

Original language	English
Pages (from-to)	603-614
Number of pages	12
Journal	Electric Power Components and Systems
Volume	38
Issue number	5
DOIs	https://doi.org/10.1080/15325000903376974
State	Published - Mar 2010

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Maximum power-point tracking
Wind turbine generation system

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10.1080/15325000903376974

Cite this

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title = "Parameter identification of wind turbine for maximum power-point tracking control",

abstract = "In this article, a technique is proposed for maximum power-point tracking control of a wind generation system. The optimal operation speed to which the wind turbine output power maximizes is determined with parameters identified by an iterative least squares technique. The effectiveness of the maximum point tracking control with identified parameters of wind turbine is verified by computer simulation. In addition, the article discusses how to address rotational speed and output power in the case when the wind turbine parameters used for determining the optimum rotational speed have errors.",

keywords = "Maximum power-point tracking, Wind turbine generation system",

author = "Howlader, \{Abdul Motin\} and Naomitsu Urasaki and Kousuke Uchida and Atsushi Yona and Tomonobu Senjyu and Kim, \{Chul Hwan\} and Saber, \{A. Y.\}",

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doi = "10.1080/15325000903376974",

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TY - JOUR

T1 - Parameter identification of wind turbine for maximum power-point tracking control

AU - Howlader, Abdul Motin

AU - Urasaki, Naomitsu

AU - Uchida, Kousuke

AU - Yona, Atsushi

AU - Senjyu, Tomonobu

AU - Kim, Chul Hwan

AU - Saber, A. Y.

PY - 2010/3

Y1 - 2010/3

N2 - In this article, a technique is proposed for maximum power-point tracking control of a wind generation system. The optimal operation speed to which the wind turbine output power maximizes is determined with parameters identified by an iterative least squares technique. The effectiveness of the maximum point tracking control with identified parameters of wind turbine is verified by computer simulation. In addition, the article discusses how to address rotational speed and output power in the case when the wind turbine parameters used for determining the optimum rotational speed have errors.

AB - In this article, a technique is proposed for maximum power-point tracking control of a wind generation system. The optimal operation speed to which the wind turbine output power maximizes is determined with parameters identified by an iterative least squares technique. The effectiveness of the maximum point tracking control with identified parameters of wind turbine is verified by computer simulation. In addition, the article discusses how to address rotational speed and output power in the case when the wind turbine parameters used for determining the optimum rotational speed have errors.

KW - Maximum power-point tracking

KW - Wind turbine generation system

UR - https://www.scopus.com/pages/publications/77951031260

U2 - 10.1080/15325000903376974

DO - 10.1080/15325000903376974

M3 - Article

AN - SCOPUS:77951031260

SN - 1532-5008

VL - 38

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EP - 614

JO - Electric Power Components and Systems

JF - Electric Power Components and Systems

IS - 5

ER -

Parameter identification of wind turbine for maximum power-point tracking control

Abstract

UN SDGs

Keywords

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