Frontiers in Energy Research (Sep 2023)

Parameter adaptive model predictive control strategy of NPC three-level virtual synchronous generator

  • Xiaoliang Yang,
  • Xiaoliang Yang,
  • Rui Wang,
  • Rui Wang,
  • Nan Jin,
  • Nan Jin,
  • Jiane Zhao,
  • Yuyue Cui,
  • Yuyue Cui,
  • Yihao Li,
  • Yihao Li

DOI
https://doi.org/10.3389/fenrg.2023.1236646
Journal volume & issue
Vol. 11

Abstract

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The Virtual Synchronous Generator (VSG) emulates the characteristics of a synchronous generator to provide inertia and damping for renewable energy systems. In the case of using the NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning. Furthermore, although fixed-parameter VSG control can provide inertia and damping when a significant power load is switched in an islanded microgrid, it cannot guarantee frequency regulation performance. To address these issues, this paper proposes an NPC three-level VSG parameter adaptive finite control set model predictive control strategy. This method eliminates the need for dual-loop control and PI parameter tuning. By incorporating angular velocity deviation and its rate of change into adaptive adjustment, a Tracking-Differentiator (TD) is designed to calculate the rate of change of angular velocity. This approach avoids frequent fluctuation of adaptive parameters during load power switching and improves the frequency stability of the microgrid. The effectiveness of the proposed strategy is validated through simulation and experimental verification.

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