Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters

Jose Sayritupac; Eduardo Albanez; Johnny Rengifo; Jose M. Aller; Jose Restrepo

doi:10.1109/PEPQA.2015.7168207

Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters

Jose Sayritupac, Eduardo Albanez, Johnny Rengifo, Jose M. Aller, Jose Restrepo

Energy Research Group (GIE)

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

10 Scopus citations

Abstract

This paper proposes a control scheme for a wind turbine using a DFIG electromechanical converter, implemented through an NPC three-level back to back converter, that keeps a unitary power factor injection to the grid and maximizes the energy harvested from wind, using a maximum power point tracking algorithm (MPPT). A predictive direct power control (DPC) strategy drives the grid-side converter, to maintain the DC bus reference voltage. Whereas, a predictive direct torque control (DTC) strategy drives the machine-rotor-side converter, to control the power extraction, the power factor and balancing of the DC bus capacitors. The developed model allows to study the wind energy conversion system (WECS) for energy harvesting, rotor dynamics and power quality analysis. Simulation results endorse the effectiveness of the advanced control techniques for the whole wind spectrum, including the pitch angle control. A sensitivity analysis shows that the predictive DTC control strategy is robust with an uncertainty up to 20% of the induction machine parameters.

Original language	English
Title of host publication	2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467376525
DOIs	https://doi.org/10.1109/PEPQA.2015.7168207
State	Published - 27 Jul 2015
Event	2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Bogota, Colombia Duration: 2 Jun 2015 → 4 Jun 2015

Publication series

Name	2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings

Conference

Conference	2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015
Country/Territory	Colombia
City	Bogota
Period	2/06/15 → 4/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

DFIG
DPC
DTC
Predictive control
WECS

Access to Document

10.1109/PEPQA.2015.7168207

Cite this

Sayritupac, J., Albanez, E., Rengifo, J., Aller, J. M., & Restrepo, J. (2015). Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters. In 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings Article 7168207 (2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEPQA.2015.7168207

Sayritupac, Jose ; Albanez, Eduardo ; Rengifo, Johnny et al. / Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters. 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings).

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title = "Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters",

abstract = "This paper proposes a control scheme for a wind turbine using a DFIG electromechanical converter, implemented through an NPC three-level back to back converter, that keeps a unitary power factor injection to the grid and maximizes the energy harvested from wind, using a maximum power point tracking algorithm (MPPT). A predictive direct power control (DPC) strategy drives the grid-side converter, to maintain the DC bus reference voltage. Whereas, a predictive direct torque control (DTC) strategy drives the machine-rotor-side converter, to control the power extraction, the power factor and balancing of the DC bus capacitors. The developed model allows to study the wind energy conversion system (WECS) for energy harvesting, rotor dynamics and power quality analysis. Simulation results endorse the effectiveness of the advanced control techniques for the whole wind spectrum, including the pitch angle control. A sensitivity analysis shows that the predictive DTC control strategy is robust with an uncertainty up to 20% of the induction machine parameters.",

keywords = "DFIG, DPC, DTC, Predictive control, WECS",

author = "Jose Sayritupac and Eduardo Albanez and Johnny Rengifo and Aller, {Jose M.} and Jose Restrepo",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 ; Conference date: 02-06-2015 Through 04-06-2015",

year = "2015",

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Sayritupac, J, Albanez, E, Rengifo, J, Aller, JM & Restrepo, J 2015, Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters. in 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings., 7168207, 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015, Bogota, Colombia, 2/06/15. https://doi.org/10.1109/PEPQA.2015.7168207

Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters. / Sayritupac, Jose; Albanez, Eduardo; Rengifo, Johnny et al.
2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7168207 (2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings).

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

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AU - Sayritupac, Jose

AU - Albanez, Eduardo

AU - Rengifo, Johnny

AU - Aller, Jose M.

AU - Restrepo, Jose

PY - 2015/7/27

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N2 - This paper proposes a control scheme for a wind turbine using a DFIG electromechanical converter, implemented through an NPC three-level back to back converter, that keeps a unitary power factor injection to the grid and maximizes the energy harvested from wind, using a maximum power point tracking algorithm (MPPT). A predictive direct power control (DPC) strategy drives the grid-side converter, to maintain the DC bus reference voltage. Whereas, a predictive direct torque control (DTC) strategy drives the machine-rotor-side converter, to control the power extraction, the power factor and balancing of the DC bus capacitors. The developed model allows to study the wind energy conversion system (WECS) for energy harvesting, rotor dynamics and power quality analysis. Simulation results endorse the effectiveness of the advanced control techniques for the whole wind spectrum, including the pitch angle control. A sensitivity analysis shows that the predictive DTC control strategy is robust with an uncertainty up to 20% of the induction machine parameters.

AB - This paper proposes a control scheme for a wind turbine using a DFIG electromechanical converter, implemented through an NPC three-level back to back converter, that keeps a unitary power factor injection to the grid and maximizes the energy harvested from wind, using a maximum power point tracking algorithm (MPPT). A predictive direct power control (DPC) strategy drives the grid-side converter, to maintain the DC bus reference voltage. Whereas, a predictive direct torque control (DTC) strategy drives the machine-rotor-side converter, to control the power extraction, the power factor and balancing of the DC bus capacitors. The developed model allows to study the wind energy conversion system (WECS) for energy harvesting, rotor dynamics and power quality analysis. Simulation results endorse the effectiveness of the advanced control techniques for the whole wind spectrum, including the pitch angle control. A sensitivity analysis shows that the predictive DTC control strategy is robust with an uncertainty up to 20% of the induction machine parameters.

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Sayritupac J, Albanez E, Rengifo J, Aller JM, Restrepo J. Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters. In 2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7168207. (2015 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2015 - Proceedings). doi: 10.1109/PEPQA.2015.7168207

Predictive control strategy for DFIG wind turbines with maximum power point tracking using multilevel converters

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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