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Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control

Author

Listed:
  • Yinyu Yan

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China
    NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Zhiyuan Fan

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China
    NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Yichao Sun

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China
    NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China)

  • Wei Wang

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China)

  • Dongmei Yang

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China)

  • Zheng Wei

    (State Key Laboratory of Smart Grid Protection and Control (State Grid Electric Power Research Institute/ NARI Group Corporation), Nanjing 211106, China)

Abstract

This paper proposes a hybrid multi-vector model predictive control (MPC) to reduce the harmonic content in the output current of a two-level virtual synchronous generator (VSG). Compared to traditional two-vector MPC, the proposed hybrid multi-vector MPC has twelve sets of voltage vectors, meaning that the number of iterative calculations required in each cycle is identical for both control methods. Compared to the three-vector MPC, the proposed method requires more iterative calculations per control period but achieves optimal harmonic content in the output current. In addition, different from the traditional MPC methods, this paper incorporates frequency variation weights into the cost function, which further reduces the harmonic content in the output current. Finally, the effectiveness of the proposed control strategy is validated through a simulation model built in MATLAB/Simulink.

Suggested Citation

  • Yinyu Yan & Zhiyuan Fan & Yichao Sun & Wei Wang & Dongmei Yang & Zheng Wei, 2025. "Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control," Energies, MDPI, vol. 18(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:701-:d:1582906
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