A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG

In this paper, a new control strategy is proposed for a three-phase squirrel-cage self-excited induction generator (SEIG) connected to a variable speed wind turbine in autonomous mode. In order to improve the dynamic performance of the mentioned vector control system, a model reference adaptive cont...

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Main Authors: M. A. Taghikhani, A. D. Farahani
Format: Article
Language:English
Published: D. G. Pylarinos 2018-02-01
Series:Engineering, Technology & Applied Science Research
Subjects:
Online Access:https://etasr.com/index.php/ETASR/article/view/1701
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spelling doaj-2ac4dd5a4d3a42a4b63fd33deb29e6e32020-12-02T15:10:05ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362018-02-0181436A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIGM. A. Taghikhani0A. D. Farahani1Department of Engineering, Imam Khomeini International University, Qazvin, IranDepartment of Engineering, Imam Khomeini International University, Qazvin, IranIn this paper, a new control strategy is proposed for a three-phase squirrel-cage self-excited induction generator (SEIG) connected to a variable speed wind turbine in autonomous mode. In order to improve the dynamic performance of the mentioned vector control system, a model reference adaptive controller is used for online rotor time constant estimation. Thus, the main drawbacks of this method, which include the effects of the changes in machine parameters on rotor flux estimation, slip speed, the creation of instability problems and the system leaving vector control mode, are resolved. In this control strategy, a PI controller is used to control the dc voltage and three similar hysteresis current controllers (HCC) are used to control the switching of IGBTs. The results of the dynamic simulation indicate the desirable performance of the proposed system. https://etasr.com/index.php/ETASR/article/view/1701Self-Excited Induction Generator (SEIG)Rotor Flux Oriented (RFO) Vector ControlModel Reference Adaptive System (MRAS)
collection DOAJ
language English
format Article
sources DOAJ
author M. A. Taghikhani
A. D. Farahani
spellingShingle M. A. Taghikhani
A. D. Farahani
A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
Engineering, Technology & Applied Science Research
Self-Excited Induction Generator (SEIG)
Rotor Flux Oriented (RFO) Vector Control
Model Reference Adaptive System (MRAS)
author_facet M. A. Taghikhani
A. D. Farahani
author_sort M. A. Taghikhani
title A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
title_short A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
title_full A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
title_fullStr A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
title_full_unstemmed A Reactive Power Based Reference Model for Adaptive Control Strategy in a SEIG
title_sort reactive power based reference model for adaptive control strategy in a seig
publisher D. G. Pylarinos
series Engineering, Technology & Applied Science Research
issn 2241-4487
1792-8036
publishDate 2018-02-01
description In this paper, a new control strategy is proposed for a three-phase squirrel-cage self-excited induction generator (SEIG) connected to a variable speed wind turbine in autonomous mode. In order to improve the dynamic performance of the mentioned vector control system, a model reference adaptive controller is used for online rotor time constant estimation. Thus, the main drawbacks of this method, which include the effects of the changes in machine parameters on rotor flux estimation, slip speed, the creation of instability problems and the system leaving vector control mode, are resolved. In this control strategy, a PI controller is used to control the dc voltage and three similar hysteresis current controllers (HCC) are used to control the switching of IGBTs. The results of the dynamic simulation indicate the desirable performance of the proposed system.
topic Self-Excited Induction Generator (SEIG)
Rotor Flux Oriented (RFO) Vector Control
Model Reference Adaptive System (MRAS)
url https://etasr.com/index.php/ETASR/article/view/1701
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