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<p>In this paper, an improved multiple vector model predictive current control (MPCC) algorithm is proposed, based on the discrete space vector modulation (DSVM) principle. The proposed MPCC algorithm is applied to a permanent magnet synchronous generator in a grid connected wind energy conversion system. The DSVM principle is used to increase the number of available voltage vectors (VVs) of the two-level voltage source converter from 8 VVs to 62 VVs by dividing the sampling-period into four-time segments, which increases control flexibility. The deadbeat principle is used to reduce the computational burden of the proposed MPCC algorithm. The performance of the proposed MPCC algorithm is validated through simulations. The total harmonic distortion of the current injected to the grid on using the proposed MPCC algorithm is 2.74% as compared to 5.96% for the conventional one-time segment MPCC algorithm and 3.64% for the three-time segment MPCC algorithm.</p>

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Multiple Vector Model Predictive Current Control for Grid Connected PMSGs in Wind Energy Conversion Systems

  • 期刊论文

  • 发表日期：

    2025年5月20日

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  • Mohamed Abdelrahem,
  • Mazen Abdel-Salam,
  • Ibrahim Eid,
  • Ahmed Elnozahy

摘要

In this paper, an improved multiple vector model predictive current control (MPCC) algorithm is proposed, based on the discrete space vector modulation (DSVM) principle. The proposed MPCC algorithm is applied to a permanent magnet synchronous generator in a grid connected wind energy conversion system. The DSVM principle is used to increase the number of available voltage vectors (VVs) of the two-level voltage source converter from 8 VVs to 62 VVs by dividing the sampling-period into four-time segments, which increases control flexibility. The deadbeat principle is used to reduce the computational burden of the proposed MPCC algorithm. The performance of the proposed MPCC algorithm is validated through simulations. The total harmonic distortion of the current injected to the grid on using the proposed MPCC algorithm is 2.74% as compared to 5.96% for the conventional one-time segment MPCC algorithm and 3.64% for the three-time segment MPCC algorithm.