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Phase Voltage-Oriented Control of a PMSG Wind Generator for Unity Power Factor Correction

Author

Listed:
  • Ming-Fa Tsai

    (Department of Electrical Engineering, Minghsin University of Science and Technology, 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

  • Chung-Shi Tseng

    (Department of Electrical Engineering, Minghsin University of Science and Technology, 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

  • Bor-Yuh Lin

    (Department of Electrical Engineering, Minghsin University of Science and Technology, 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

Abstract

This paper presents the power factor control of a permanent magnet synchronous wind generator (PMSG) wind turbine using a phase voltage-oriented control (PVOC) scheme, which is different from the conventional rotor flux-oriented control (RFOC) method and without using a rotor position sensor or sensorless estimator. The proposed control system is operated in two separately synchronously rotating d-q frames. One is for a phase-locked loop (PLL) and the other is for the PVOC current control loop. A PI controller functioned as a low-pass filter in the PLL loop is designed for extracting the phase voltage angle for the coordinate transformation between the stationary α-β frame and the synchronously rotating d-q frame in the PVOC control loop. The d-q modeling of the PMSG with the three-phase voltage vector aligned on the d -axis is then derived and based on which an another PI controller followed by decoupling control is designed, so that the three-phase currents are in phase with the three-phase output voltages of the wind generator for unity power factor correction. The simulation results in PSIM show the performance of the proposed control system which is also experimentally verified by using a TI TMS320F28335 digital control chip.

Suggested Citation

  • Ming-Fa Tsai & Chung-Shi Tseng & Bor-Yuh Lin, 2020. "Phase Voltage-Oriented Control of a PMSG Wind Generator for Unity Power Factor Correction," Energies, MDPI, vol. 13(21), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5693-:d:437909
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    References listed on IDEAS

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    1. Qian Cheng & Xiaolan Liu & Ho Seong Ji & Kyung Chun Kim & Bo Yang, 2017. "Aerodynamic Analysis of a Helical Vertical Axis Wind Turbine," Energies, MDPI, vol. 10(4), pages 1-17, April.
    2. Zhikun Luo & Zhifeng Sun & Fengli Ma & Yihan Qin & Shihao Ma, 2020. "Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment," Energies, MDPI, vol. 13(16), pages 1-15, August.
    3. Lin, Whei-Min & Hong, Chih-Ming & Cheng, Fu-Sheng, 2010. "Fuzzy neural network output maximization control for sensorless wind energy conversion system," Energy, Elsevier, vol. 35(2), pages 592-601.
    4. Dongran Song & Jian Yang & Mei Su & Anfeng Liu & Yao Liu & Young Hoon Joo, 2017. "A Comparison Study between Two MPPT Control Methods for a Large Variable-Speed Wind Turbine under Different Wind Speed Characteristics," Energies, MDPI, vol. 10(5), pages 1-18, May.
    5. Tanaka, T. & Toumiya, T. & Suzuki, T., 1997. "Output control by hill-climbing method for a small scale wind power generating system," Renewable Energy, Elsevier, vol. 12(4), pages 387-400.
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    Cited by:

    1. Ming-Fa Tsai & Chung-Shi Tseng & Kuo-Tung Hung & Shih-Hua Lin, 2021. "A Novel DSP-Based MPPT Control Design for Photovoltaic Systems Using Neural Network Compensator," Energies, MDPI, vol. 14(11), pages 1-20, June.
    2. Ming-Fa Tsai & Chung-Shi Tseng & Po-Jen Cheng, 2021. "Implementation of an FPGA-Based Current Control and SVPWM ASIC with Asymmetric Five-Segment Switching Scheme for AC Motor Drives," Energies, MDPI, vol. 14(5), pages 1-23, March.

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