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Model Predictive Control for Three-Phase, Four-Leg Dynamic Voltage Restorer

Author

Listed:
  • Decan Liu

    (College of Electrical Engineering, Sichuan University, Chengdu 610017, China)

  • Huaying Zhang

    (China Southern Power Grid, Guangzhou 510663, China)

  • Xiaorui Liang

    (China Southern Power Grid, Guangzhou 510663, China)

  • Shicong Deng

    (China Southern Power Grid, Guangzhou 510663, China)

Abstract

Dynamic voltage restores (DVRs) are usually used to mitigate the effect of voltage sag and guarantee sufficient power supply for sensitive loads. However, three-phase voltage cannot be compensated to the desired balance voltage under unbalanced three-phase loads by traditional DVRs with a three-phase, three-leg inverter. To address this problem, a three-phase, four-leg inverter-based DVR is first introduced in this paper, and then the state space model in its continuous form and discrete form are established, respectively. A two-step predictive method is proposed for the prediction of the output voltage in each switching state by the established voltage prediction model. Finite-control-set model predictive control (MPC) is developed to be used in the three-phase, four-leg inverter-based DVR. Its dynamic response is effectively improved by the proposed MPC method under various voltage sag conditions. The proposed DVR control strategy is validated via MATLAB/Simulink-R2022b simulations, which demonstrate its effectiveness in voltage compensation under various sag conditions.

Suggested Citation

  • Decan Liu & Huaying Zhang & Xiaorui Liang & Shicong Deng, 2024. "Model Predictive Control for Three-Phase, Four-Leg Dynamic Voltage Restorer," Energies, MDPI, vol. 17(22), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5622-:d:1517978
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    References listed on IDEAS

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    1. Ding, Bing & Li, Zening & Li, Zhengmao & Xue, Yixun & Chang, Xinyue & Su, Jia & Jin, Xiaolong & Sun, Hongbin, 2024. "A CCP-based distributed cooperative operation strategy for multi-agent energy systems integrated with wind, solar, and buildings," Applied Energy, Elsevier, vol. 365(C).
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