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Variable speed wind turbine control scheme using a robust wind torque estimation
Accepted Manuscript Variable speed wind turbine control scheme using a robust wind torque estimation Oscar Barambones, Jose A. Cortajarena, Isidro Calvo, Jose M. Gonzalez de Durana, Patxi Alkorta, A. Karami-Mollaee PII:
S0960-1481(18)31193-5
DOI:
10.1016/j.renene.2018.10.009
Reference:
RENE 10659
To appear in:
Renewable Energy
Received Date: 7 March 2018 Revised Date:
5 August 2018
Accepted Date: 1 October 2018
Please cite this article as: Barambones O, Cortajarena JA, Calvo I, Gonzalez de Durana JM, Alkorta P, Karami-Mollaee A, Variable speed wind turbine control scheme using a robust wind torque estimation, Renewable Energy (2018), doi: https://doi.org/10.1016/j.renene.2018.10.009. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT
Highlights
This paper proposes a real time sliding mode control for variable speed wind turbine system.
The proposed control law improves the efficiency of the wind turbine system, because the turbine speed is adjusted as a function of the wind velocity in order to maximize the output power.
A robust aerodynamic torque observer is proposed in order to avoid the use of wind speed sensors. This torque observer allows to estimate the aerodynamic torque to be used by the controller in order to calculate the value of the optimal reference speed for the wind turbine.
The Lyapunov stability theory is employed in order to demonstrate the closed loop stability of the proposed control scheme.
The performance of the proposed control scheme has been validated in a text bench that we have designed and constructed.
The real time experimental results show, on the one hand that the proposed controller improves the system efficiency and on the other hand that this scheme is robust with respect to the system uncertainties and wind velocity variations that usually appear in the real systems.
AC C
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M AN U
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RI PT
S0960-1481(18)31193-5
DOI:
10.1016/j.renene.2018.10.009
Reference:
RENE 10659
To appear in:
Renewable Energy
Received Date: 7 March 2018 Revised Date:
5 August 2018
Accepted Date: 1 October 2018
Please cite this article as: Barambones O, Cortajarena JA, Calvo I, Gonzalez de Durana JM, Alkorta P, Karami-Mollaee A, Variable speed wind turbine control scheme using a robust wind torque estimation, Renewable Energy (2018), doi: https://doi.org/10.1016/j.renene.2018.10.009. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT
Highlights
This paper proposes a real time sliding mode control for variable speed wind turbine system.
The proposed control law improves the efficiency of the wind turbine system, because the turbine speed is adjusted as a function of the wind velocity in order to maximize the output power.
A robust aerodynamic torque observer is proposed in order to avoid the use of wind speed sensors. This torque observer allows to estimate the aerodynamic torque to be used by the controller in order to calculate the value of the optimal reference speed for the wind turbine.
The Lyapunov stability theory is employed in order to demonstrate the closed loop stability of the proposed control scheme.
The performance of the proposed control scheme has been validated in a text bench that we have designed and constructed.
The real time experimental results show, on the one hand that the proposed controller improves the system efficiency and on the other hand that this scheme is robust with respect to the system uncertainties and wind velocity variations that usually appear in the real systems.
AC C
EP
TE D
M AN U
SC
RI PT