Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine

Edy Ayala; Nicolás Pozo; Silvio Simani; Eduardo Muñoz

doi:10.1007/978-3-030-75680-2_101

Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine

Edy Ayala, Nicolás Pozo, Silvio Simani, Eduardo Muñoz

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

Abstract

In the present work, a control strategy for Maximum Power Point Tracking (MPPT) applied to a wind turbine is described. The electric machine consists of a 1.5MW Doubly Fed Induction Generator (DFIG). This strategy is developed according to the theory of Direct Speed Control (DSC), which includes a state observer. This strategy considers the Low Shaft Speed (LSS) as an input and the i_qr reference current as the output. This control mechanism allows monitoring the MPPT; thus, changing the Power Coefficient (Cp) to its optimal value during the wind turbine operation. Among its main features, the controller is configured to work with the incorporation of different wind inputs, a fact that permits evaluating the system’s response to disturbances and variations. For simulation tests, a wind turbine has been modeled in MATLAB-Simulink and Fatigue, Aerodynamics, Structures and Turbulence (FAST) software. The strategy has been compared to a PI-MPPT controller and has demonstrated improvements in terms of speed and output power extraction.

Original language	English
Title of host publication	Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
Editors	Yuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	918-928
Number of pages	11
ISBN (Print)	9783030756796
DOIs	https://doi.org/10.1007/978-3-030-75680-2_101
State	Published - 2021
Event	6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online Duration: 26 Oct 2020 → 28 Oct 2020

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	233
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	6th Brazilian Technology Symposium, BTSym 2020
City	Virtual, Online
Period	26/10/20 → 28/10/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

DFIG
Direct speed control
MPPT
Power coefficient
Wind turbine

Access to Document

10.1007/978-3-030-75680-2_101

Cite this

Ayala, E., Pozo, N., Simani, S., & Muñoz, E. (2021). Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine. In Y. Iano, O. Saotome, G. Kemper, A. C. Mendes de Seixas, & G. Gomes de Oliveira (Eds.), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology (pp. 918-928). (Smart Innovation, Systems and Technologies; Vol. 233). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-75680-2_101

Ayala, Edy ; Pozo, Nicolás ; Simani, Silvio et al. / Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine. Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. editor / Yuzo Iano ; Osamu Saotome ; Guillermo Kemper ; Ana Claudia Mendes de Seixas ; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. pp. 918-928 (Smart Innovation, Systems and Technologies).

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abstract = "In the present work, a control strategy for Maximum Power Point Tracking (MPPT) applied to a wind turbine is described. The electric machine consists of a 1.5MW Doubly Fed Induction Generator (DFIG). This strategy is developed according to the theory of Direct Speed Control (DSC), which includes a state observer. This strategy considers the Low Shaft Speed (LSS) as an input and the iqr reference current as the output. This control mechanism allows monitoring the MPPT; thus, changing the Power Coefficient (Cp) to its optimal value during the wind turbine operation. Among its main features, the controller is configured to work with the incorporation of different wind inputs, a fact that permits evaluating the system{\textquoteright}s response to disturbances and variations. For simulation tests, a wind turbine has been modeled in MATLAB-Simulink and Fatigue, Aerodynamics, Structures and Turbulence (FAST) software. The strategy has been compared to a PI-MPPT controller and has demonstrated improvements in terms of speed and output power extraction.",

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Ayala, E, Pozo, N, Simani, S & Muñoz, E 2021, Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine. in Y Iano, O Saotome, G Kemper, AC Mendes de Seixas & G Gomes de Oliveira (eds), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Smart Innovation, Systems and Technologies, vol. 233, Springer Science and Business Media Deutschland GmbH, pp. 918-928, 6th Brazilian Technology Symposium, BTSym 2020, Virtual, Online, 26/10/20. https://doi.org/10.1007/978-3-030-75680-2_101

Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine. / Ayala, Edy; Pozo, Nicolás; Simani, Silvio et al.
Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. ed. / Yuzo Iano; Osamu Saotome; Guillermo Kemper; Ana Claudia Mendes de Seixas; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. p. 918-928 (Smart Innovation, Systems and Technologies; Vol. 233).

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

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N2 - In the present work, a control strategy for Maximum Power Point Tracking (MPPT) applied to a wind turbine is described. The electric machine consists of a 1.5MW Doubly Fed Induction Generator (DFIG). This strategy is developed according to the theory of Direct Speed Control (DSC), which includes a state observer. This strategy considers the Low Shaft Speed (LSS) as an input and the iqr reference current as the output. This control mechanism allows monitoring the MPPT; thus, changing the Power Coefficient (Cp) to its optimal value during the wind turbine operation. Among its main features, the controller is configured to work with the incorporation of different wind inputs, a fact that permits evaluating the system’s response to disturbances and variations. For simulation tests, a wind turbine has been modeled in MATLAB-Simulink and Fatigue, Aerodynamics, Structures and Turbulence (FAST) software. The strategy has been compared to a PI-MPPT controller and has demonstrated improvements in terms of speed and output power extraction.

AB - In the present work, a control strategy for Maximum Power Point Tracking (MPPT) applied to a wind turbine is described. The electric machine consists of a 1.5MW Doubly Fed Induction Generator (DFIG). This strategy is developed according to the theory of Direct Speed Control (DSC), which includes a state observer. This strategy considers the Low Shaft Speed (LSS) as an input and the iqr reference current as the output. This control mechanism allows monitoring the MPPT; thus, changing the Power Coefficient (Cp) to its optimal value during the wind turbine operation. Among its main features, the controller is configured to work with the incorporation of different wind inputs, a fact that permits evaluating the system’s response to disturbances and variations. For simulation tests, a wind turbine has been modeled in MATLAB-Simulink and Fatigue, Aerodynamics, Structures and Turbulence (FAST) software. The strategy has been compared to a PI-MPPT controller and has demonstrated improvements in terms of speed and output power extraction.

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Ayala E, Pozo N, Simani S, Muñoz E. Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine. In Iano Y, Saotome O, Kemper G, Mendes de Seixas AC, Gomes de Oliveira G, editors, Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 918-928. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-75680-2_101

Direct Speed Control Scheme for Maximum Power Point Tracking of a 1.5MW DFIG Wind Turbine

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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