Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance

This paper investigates the response to grid disturbances of the wind energy conversion system based on the doubly fed induction generator (DFIG-based WECS). It is proposed a new control termed as heightened statefeedback control structure (HSFC) with predictive behavior to regulate the rotor curren...

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Principais autores:	Taveiros, Filipe Emanuel Vieira, Barros, Luciano Sales, Costa, Flávio Bezerra
Formato:	article
Idioma:	English
Publicado em:	Elsevier
Assuntos:	Doubly fed induction generator Grid unbalances Low voltage ride-through State-feedback Real time simulation
Endereço do item:	https://repositorio.ufrn.br/jspui/handle/123456789/29806
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spelling	ri-123456789-298062023-02-07T19:43:58Z Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance Taveiros, Filipe Emanuel Vieira Barros, Luciano Sales Costa, Flávio Bezerra Doubly fed induction generator Grid unbalances Low voltage ride-through State-feedback Real time simulation This paper investigates the response to grid disturbances of the wind energy conversion system based on the doubly fed induction generator (DFIG-based WECS). It is proposed a new control termed as heightened statefeedback control structure (HSFC) with predictive behavior to regulate the rotor current loops, which is able to effectively counteract the back electromotive force surge oscillating dynamics that occur in the event of a disturbance in the grid voltage. The proposed method is able to mitigate oscillations in DFIG currents exempting the need to use low voltage ride-through current-modify (LVRT-CM) strategies during intermediate symmetrical and asymmetrical voltage sags or during the voltage recovery process, while provide the DFIG to contribute active and reactive current featuring bounded torque oscillations. During severe faults, the proposed structure is able to effectively track the required post-fault rotor current references as demanded by LVRT-CM, which allows the DFIG to ride-through the fault with constrained currents and torque. The proposed structure also employs a novel flux damping technique which accentuate the rotor d-axis current in order to significantly reduce stator flux settling time after faults, while the torque minimally oscillates during post-fault recovery. Real-time digital simulations and experimental results considering symmetrical and asymmetrical voltage sags due to faults show the proposed solutions advantages over classical and previous strategies 2020-08-12T20:12:06Z 2020-08-12T20:12:06Z 2018-07-16 article TAVEIROS, F.E.V.; BARROS, L.S.; COSTA, F.B.. Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance. International Journal of Electrical Power & Energy Systems, [s.l.], v. 104, p. 943-956, jan. 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0142061518309670?via%3Dihub. Acesso em: 08 ago. 2020. https://doi.org/10.1016/j.ijepes.2018.07.028 0142-0615 https://repositorio.ufrn.br/jspui/handle/123456789/29806 10.1016/j.ijepes.2018.07.028 en Elsevier
institution	Repositório Institucional
collection	RI - UFRN
language	English
topic	Doubly fed induction generator Grid unbalances Low voltage ride-through State-feedback Real time simulation
spellingShingle	Doubly fed induction generator Grid unbalances Low voltage ride-through State-feedback Real time simulation Taveiros, Filipe Emanuel Vieira Barros, Luciano Sales Costa, Flávio Bezerra Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
description	This paper investigates the response to grid disturbances of the wind energy conversion system based on the doubly fed induction generator (DFIG-based WECS). It is proposed a new control termed as heightened statefeedback control structure (HSFC) with predictive behavior to regulate the rotor current loops, which is able to effectively counteract the back electromotive force surge oscillating dynamics that occur in the event of a disturbance in the grid voltage. The proposed method is able to mitigate oscillations in DFIG currents exempting the need to use low voltage ride-through current-modify (LVRT-CM) strategies during intermediate symmetrical and asymmetrical voltage sags or during the voltage recovery process, while provide the DFIG to contribute active and reactive current featuring bounded torque oscillations. During severe faults, the proposed structure is able to effectively track the required post-fault rotor current references as demanded by LVRT-CM, which allows the DFIG to ride-through the fault with constrained currents and torque. The proposed structure also employs a novel flux damping technique which accentuate the rotor d-axis current in order to significantly reduce stator flux settling time after faults, while the torque minimally oscillates during post-fault recovery. Real-time digital simulations and experimental results considering symmetrical and asymmetrical voltage sags due to faults show the proposed solutions advantages over classical and previous strategies
format	article
author	Taveiros, Filipe Emanuel Vieira Barros, Luciano Sales Costa, Flávio Bezerra
author_facet	Taveiros, Filipe Emanuel Vieira Barros, Luciano Sales Costa, Flávio Bezerra
author_sort	Taveiros, Filipe Emanuel Vieira
title	Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
title_short	Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
title_full	Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
title_fullStr	Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
title_full_unstemmed	Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance
title_sort	heightened state-feedback predictive control for dfig-based wind turbines to enhance its lvrt performance
publisher	Elsevier
publishDate	2020
url	https://repositorio.ufrn.br/jspui/handle/123456789/29806
work_keys_str_mv	AT taveirosfilipeemanuelvieira heightenedstatefeedbackpredictivecontrolfordfigbasedwindturbinestoenhanceitslvrtperformance AT barroslucianosales heightenedstatefeedbackpredictivecontrolfordfigbasedwindturbinestoenhanceitslvrtperformance AT costaflaviobezerra heightenedstatefeedbackpredictivecontrolfordfigbasedwindturbinestoenhanceitslvrtperformance
_version_	1773963988960280576

Heightened state-feedback predictive control for DFIG-based wind turbines to enhance its LVRT performance

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