Direct Predictive Voltage Control for Grid-Connected Permanent Magnet Synchronous Generator System

Yingjie He, Ying Tang, Xiaonan Gao, Haotian Xie, Fengxiang Wang, Jose Rodriguez, Ralph Kennel

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In this article, a direct predictive voltage control (DPVC) is proposed for the grid-connected permanent magnet synchronous generator system. In the proposed strategy, the dc-link voltage regulation and power regulation terms are merged into one cost function, thereby eliminating the conventional cascade control structure. The strategy selects the voltage vector that not only will generate a dc-link voltage closer to the setpoint at instant k+2, but will generate an active power that can further reduce that voltage error for the future instant. To cope with the mismatch between the actual and nominal parameters, the Kalman filter has been added to compensate for the steady-state error. Besides, to enhance the dynamic performance and to save the effort of parameter tuning, the weighting factor is further eliminated from the cost function by sorting the terms into two groups and independently evaluating each group in turn. To fully validate the effectiveness of the proposed strategy, the experimental test waveforms of the DPVC strategy with and without weighting factor have been presented and compared with that of the conventional PI-MPC strategy in various testing conditions.

Original languageEnglish
Pages (from-to)10860-10870
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume70
Issue number11
DOIs
StatePublished - 1 Nov 2023

Keywords

  • Direct predictive voltage control (DPVC)
  • model predictive control (MPC)
  • permanent magnet synchronous generator (PMSG)

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