Multipurpose FCS Model Predictive Control of VSC-Based Microgrids for Islanded and Grid-Connected Operation Modes

Mohammad Ghiasi, Taher Niknam*, Moslem Dehghani, Hamid Reza Baghaee*, Zhanle Wang, Mohammad Mehdi Ghanbarian, Frede Blaabjerg, Tomislav Dragicevic

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

This article presents an enhanced control strategy for renewable energy resources connected to the grid through voltage-sourced converters (VSCs) in microgrids. The proposed scheme contains a voltage control loop with the minimum inverter switching, a power-sharing controller with the minimum inverter switching, a negative-sequence current controller, and a loop to identify the control system operation mode. All the controllers are designed using the multipurpose finite control set-model predictive control (FCS-MPC) strategy. Since these controllers use the dynamic current and VSC voltage, they can be applied in grid-connected and island operation modes and transferred between them. The method uses voltage–frequency control instead of power control for VSCs. One inverter controls voltage, and the other controls current. The conventional FCS-MPC is enhanced to reduce the computation power by eightfold. This improvement is significant because the maximum switching frequency is limited in practical implementations. Also, the superiority of the proposed multipurpose control scheme is proved theoretically. Simulation is implemented using MATLAB software and compared with methods in the literature. The simulation demonstrates that the presented control strategy is efficient, authentic, and compatible. The proposed method is also tested and validated in hardware experiments.
Original languageEnglish
Article number9933637
JournalIEEE Systems Journal
Volume17
Issue number2
Pages (from-to)2558-2569
Number of pages12
ISSN2373-7816
DOIs
Publication statusPublished - 2023

Keywords

  • Voltage control
  • Inverters
  • Control systems
  • Switches
  • Power system stability
  • Load modeling
  • Power conversion

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