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A Model Independent Predictive Control of PMSG Wind Turbine Systems with a New Mechanism to Update Variables

Author

Listed:
  • Yuzhe Zhang

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Xiaodong Liu

    (State Grid Wuxi Power Supply Company, Wuxi 214000, China)

  • Haitao Li

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Zhenbin Zhang

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

Abstract

Permanent magnet synchronous generator (PMSG) wind power system with full power rating converter configuration is especially suitable for wind energy applications. Direct model predictive control (DMPC) has led to more possibilities in terms of choice because of its straightforward concept for PMSG wind turbine systems in high-power off-shore wind farms. However, due to complete dependence on the model knowledge, parameter mismatches will seriously deteriorate the system control performances. This work presents a model/parameter-independent predictive control method with a novel mechanism to update current/power variations online. The proposed method makes use of only two measurements from the former intervals and the selected control vectors to estimate all variations of the candidate vectors in the present interval. Benefiting from this updating mechanism, the proposed method is completely independent of the model parameters in the state prediction. However, it still has a very low calculating requirement and smooth current/power variation waveforms. The proposed method is compared with classical DMPC. The results validate that the proposed solution outperforms the classical DMPC with model deviations, with considerably improved robustness.

Suggested Citation

  • Yuzhe Zhang & Xiaodong Liu & Haitao Li & Zhenbin Zhang, 2023. "A Model Independent Predictive Control of PMSG Wind Turbine Systems with a New Mechanism to Update Variables," Energies, MDPI, vol. 16(9), pages 1-15, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3764-:d:1134956
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    References listed on IDEAS

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    1. Vijay Kumar Singh & Ravi Nath Tripathi & Tsuyoshi Hanamoto, 2018. "HIL Co-Simulation of Finite Set-Model Predictive Control Using FPGA for a Three-Phase VSI System," Energies, MDPI, vol. 11(4), pages 1-15, April.
    2. Fengxiang Wang & Zhenbin Zhang & Xuezhu Mei & José Rodríguez & Ralph Kennel, 2018. "Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control," Energies, MDPI, vol. 11(1), pages 1-13, January.
    3. Muhammad Haroon Nadeem & Xiaodong Zheng & Nengling Tai & Mehr Gul & Sohaib Tahir, 2018. "Analysis of Propagation Delay for Multi-Terminal High Voltage Direct Current Networks Interconnecting the Large-Scale Off-Shore Renewable Energy," Energies, MDPI, vol. 11(8), pages 1-15, August.
    4. Sanaz Sabzevari & Rasool Heydari & Maryam Mohiti & Mehdi Savaghebi & Jose Rodriguez, 2021. "Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters," Energies, MDPI, vol. 14(8), pages 1-12, April.
    5. Zehao Lyu & Xiang Wu & Jie Gao & Guojun Tan, 2021. "An Improved Finite-Control-Set Model Predictive Current Control for IPMSM under Model Parameter Mismatches," Energies, MDPI, vol. 14(19), pages 1-13, October.
    6. Peng Gao & Guangming Zhang & Xiaodong Lv, 2021. "Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives," Energies, MDPI, vol. 14(4), pages 1-15, February.
    7. Jonas Steffen & Sebastian Lengsfeld & Marco Jung & Bernd Ponick & Mercedes Herranz Gracia & Aristide Spagnolo & Markus Klöpzig & Klaus Schleicher & Klaus Schäfer, 2021. "Design of a Medium Voltage Generator with DC-Cascade for High Power Wind Energy Conversion Systems," Energies, MDPI, vol. 14(11), pages 1-17, May.
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