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Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems

Author

Listed:
  • Syed Wajahat Ali

    (Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan)

  • Anant Kumar Verma

    (Electric Power Conversion Systems Laboratory (SCoPE Lab), Universidad de O’Higgins, 611, Av. Libertador Bernardo O’Higgins, Rancagua 2820000, Chile)

  • Yacine Terriche

    (Center for Research on Microgrids, Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Muhammad Sadiq

    (Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan)

  • Chun-Lien Su

    (Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan)

  • Chung-Hong Lee

    (Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan)

  • Mahmoud Elsisi

    (Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
    Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11629, Egypt)

Abstract

Grid faults are found to be one of the major issues in renewable energy systems, particularly in wind energy conversion systems (WECS) connected to the grid via back-to-back (BTB) converters. Under such faulty grid conditions, the system requires an effective regulation of the active (P) and reactive (Q) power to accomplish low voltage ride through (LVRT) operation in accordance with the grid codes. In this paper, an improved finite-control-set model predictive control (FCS-MPC) scheme is proposed for a PMSG based WECS to achieve LVRT ability under symmetrical and asymmetrical grid faults, including mitigation of DC-link voltage fluctuation. With proposed predictive control, optimized switching states for cost function minimization with weighing factor (WF) selection guidelines are established for robust BTB converter control and reduced cross-coupling amid P and Q during transient conditions. Besides, grid voltage support is provided by grid side inverter control to inject reactive power during voltage dips. The effectiveness of the FCS-MPC method is compared with the conventional proportional-integral (PI) controller in case of symmetrical and asymmetrical grid faults. The simulation and experimental results endorse the superiority of the developed FCS-MPC scheme to diminish the fault effect quickly with lower overshoot and better damping performance than the traditional controller.

Suggested Citation

  • Syed Wajahat Ali & Anant Kumar Verma & Yacine Terriche & Muhammad Sadiq & Chun-Lien Su & Chung-Hong Lee & Mahmoud Elsisi, 2022. "Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems," Mathematics, MDPI, vol. 10(22), pages 1-22, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4266-:d:973186
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    References listed on IDEAS

    as
    1. Muhammad Sadiq & Carlos Alfaro Aragon & Yacine Terriche & Syed Wajahat Ali & Chun-Lien Su & Ľuboš Buzna & Mahmoud Elsisi & Chung-Hong Lee, 2022. "Continuous-Control-Set Model Predictive Control for Three-Level DC–DC Converter with Unbalanced Loads in Bipolar Electric Vehicle Charging Stations," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    2. Habib Benbouhenni & Nicu Bizon, 2021. "Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System," Mathematics, MDPI, vol. 9(19), pages 1-36, September.
    3. Pan, Lin & Wang, Xudong, 2020. "Variable pitch control on direct-driven PMSG for offshore wind turbine using Repetitive-TS fuzzy PID control," Renewable Energy, Elsevier, vol. 159(C), pages 221-237.
    4. Talha, Muhammad & Raihan, S.R.S. & Rahim, N Abd, 2020. "PV inverter with decoupled active and reactive power control to mitigate grid faults," Renewable Energy, Elsevier, vol. 162(C), pages 877-892.
    5. Azab, Mohamed, 2021. "A finite control set model predictive control scheme for single-phase grid-connected inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Amer Saeed, M. & Mehroz Khan, Hafiz & Ashraf, Arslan & Aftab Qureshi, Suhail, 2018. "Analyzing effectiveness of LVRT techniques for DFIG wind turbine system and implementation of hybrid combination with control schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2487-2501.
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