Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator

Khalfallah Tahir; Cheikh Belfedel; Tayeb Allaoui; Mouloud Denai; M'hamed Doumi

Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator

Khalfallah Tahir
, Cheikh Belfedel
, Tayeb Allaoui
, Mouloud Denai
, M'hamed Doumi

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1 Citation (Scopus)

Abstract

This paper presents a new contribution for the control of Wind-turbine energy driven wound field synchronous generator (WFSG) connected to the grid via a back to back converter. The goal is to track the maximum power point via a dedicated control. For this purpose, a robust backstepping controller with integral actions is applied to the WFSG. This control is based on both feedback laws and Lyapunov technique. In order to verify the validity of the proposed method, this control is applied to an accurate dynamic model of the whole generator. The simulation results show the performances.

Original language	English
Title of host publication	Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems
Editors	Mustapha Hatti
Publisher	Springer Nature
ISBN (Electronic)	978-3-319-73192-6
ISBN (Print)	978-3-319-73191-9
Publication status	Published - 2018

Cite this

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title = "Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator",

abstract = "This paper presents a new contribution for the control of Wind-turbine energy driven wound field synchronous generator (WFSG) connected to the grid via a back to back converter. The goal is to track the maximum power point via a dedicated control. For this purpose, a robust backstepping controller with integral actions is applied to the WFSG. This control is based on both feedback laws and Lyapunov technique. In order to verify the validity of the proposed method, this control is applied to an accurate dynamic model of the whole generator. The simulation results show the performances.",

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Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator. / Tahir, Khalfallah; Belfedel, Cheikh; Allaoui, Tayeb et al.
Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems. ed. / Mustapha Hatti. Springer Nature , 2018.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator

AU - Tahir, Khalfallah

AU - Belfedel, Cheikh

AU - Allaoui, Tayeb

AU - Denai, Mouloud

AU - Doumi, M'hamed

PY - 2018

Y1 - 2018

N2 - This paper presents a new contribution for the control of Wind-turbine energy driven wound field synchronous generator (WFSG) connected to the grid via a back to back converter. The goal is to track the maximum power point via a dedicated control. For this purpose, a robust backstepping controller with integral actions is applied to the WFSG. This control is based on both feedback laws and Lyapunov technique. In order to verify the validity of the proposed method, this control is applied to an accurate dynamic model of the whole generator. The simulation results show the performances.

AB - This paper presents a new contribution for the control of Wind-turbine energy driven wound field synchronous generator (WFSG) connected to the grid via a back to back converter. The goal is to track the maximum power point via a dedicated control. For this purpose, a robust backstepping controller with integral actions is applied to the WFSG. This control is based on both feedback laws and Lyapunov technique. In order to verify the validity of the proposed method, this control is applied to an accurate dynamic model of the whole generator. The simulation results show the performances.

M3 - Chapter (peer-reviewed)

SN - 978-3-319-73191-9

BT - Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems

A2 - Hatti, Mustapha

PB - Springer Nature

ER -

Robust and Efficient Control of Wind Generator Based on a Wound Field Synchronous Generator

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