Advanced control strategies for back-to-back power converter PMSG wind turbine systems

Zhenbin Zhang, Zhufeng Cui, Zhenkun Zhang, Ralph Kennel, Jose Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the increasing emphasis on environmental protection, renewable energy, especially wind power, accounts for an increasing proportion of power generation. For its higher reliability and efficiency, permanent magnet synchronous generator becomes a promising alternative. Control techniques play a very essential role in wind turbine systems. By now, many advanced control schemes have been discussed and employed to permanent magnet synchronous generator wind turbine systems. In this paper, four popular advanced control schemes, namely, field oriented control (FOC) and voltage oriented control (VOC), direct torque control (DTC) and direct power control (DPC), deadbeat control (DBC) and model predictive control (MPC), are presented. Their theories and performances are investigated and compared, which are confirmed with experimental data obtained at a lab constructed test bench.

Original languageEnglish
Title of host publicationProceedings - PRECEDE 2019
Subtitle of host publication2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538694145
DOIs
Publication statusPublished - 1 May 2019
Event2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duration: 31 May 20192 Jun 2019

Publication series

NameProceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

Conference

Conference2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
CountryChina
CityQuanzhou
Period31/05/192/06/19

Fingerprint

Power Converter
Wind Turbine
Power converters
Wind turbines
Control Strategy
Permanent Magnet
Synchronous generators
Permanent magnets
Generator
Field Oriented Control
Direct Torque Control
Wind Power
Renewable Energy
Torque control
Model predictive control
Model Predictive Control
Power Control
Environmental protection
Power control
Wind power

Keywords

  • Deadbeat control
  • Direct power control
  • Direct torque control
  • Field oriented control
  • Model predictive control
  • Voltage oriented control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

Cite this

Zhang, Z., Cui, Z., Zhang, Z., Kennel, R., & Rodriguez, J. (2019). Advanced control strategies for back-to-back power converter PMSG wind turbine systems. In Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics [8753366] (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE.2019.8753366
Zhang, Zhenbin ; Cui, Zhufeng ; Zhang, Zhenkun ; Kennel, Ralph ; Rodriguez, Jose. / Advanced control strategies for back-to-back power converter PMSG wind turbine systems. Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).
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abstract = "With the increasing emphasis on environmental protection, renewable energy, especially wind power, accounts for an increasing proportion of power generation. For its higher reliability and efficiency, permanent magnet synchronous generator becomes a promising alternative. Control techniques play a very essential role in wind turbine systems. By now, many advanced control schemes have been discussed and employed to permanent magnet synchronous generator wind turbine systems. In this paper, four popular advanced control schemes, namely, field oriented control (FOC) and voltage oriented control (VOC), direct torque control (DTC) and direct power control (DPC), deadbeat control (DBC) and model predictive control (MPC), are presented. Their theories and performances are investigated and compared, which are confirmed with experimental data obtained at a lab constructed test bench.",
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Zhang, Z, Cui, Z, Zhang, Z, Kennel, R & Rodriguez, J 2019, Advanced control strategies for back-to-back power converter PMSG wind turbine systems. in Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics., 8753366, Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019, Quanzhou, China, 31/05/19. https://doi.org/10.1109/PRECEDE.2019.8753366

Advanced control strategies for back-to-back power converter PMSG wind turbine systems. / Zhang, Zhenbin; Cui, Zhufeng; Zhang, Zhenkun; Kennel, Ralph; Rodriguez, Jose.

Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. 8753366 (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Zhang, Zhenbin

AU - Cui, Zhufeng

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AU - Kennel, Ralph

AU - Rodriguez, Jose

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N2 - With the increasing emphasis on environmental protection, renewable energy, especially wind power, accounts for an increasing proportion of power generation. For its higher reliability and efficiency, permanent magnet synchronous generator becomes a promising alternative. Control techniques play a very essential role in wind turbine systems. By now, many advanced control schemes have been discussed and employed to permanent magnet synchronous generator wind turbine systems. In this paper, four popular advanced control schemes, namely, field oriented control (FOC) and voltage oriented control (VOC), direct torque control (DTC) and direct power control (DPC), deadbeat control (DBC) and model predictive control (MPC), are presented. Their theories and performances are investigated and compared, which are confirmed with experimental data obtained at a lab constructed test bench.

AB - With the increasing emphasis on environmental protection, renewable energy, especially wind power, accounts for an increasing proportion of power generation. For its higher reliability and efficiency, permanent magnet synchronous generator becomes a promising alternative. Control techniques play a very essential role in wind turbine systems. By now, many advanced control schemes have been discussed and employed to permanent magnet synchronous generator wind turbine systems. In this paper, four popular advanced control schemes, namely, field oriented control (FOC) and voltage oriented control (VOC), direct torque control (DTC) and direct power control (DPC), deadbeat control (DBC) and model predictive control (MPC), are presented. Their theories and performances are investigated and compared, which are confirmed with experimental data obtained at a lab constructed test bench.

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Zhang Z, Cui Z, Zhang Z, Kennel R, Rodriguez J. Advanced control strategies for back-to-back power converter PMSG wind turbine systems. In Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc. 2019. 8753366. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). https://doi.org/10.1109/PRECEDE.2019.8753366