Model-Free Predictive Control of Grid-Forming Inverters With LCL Filters

Rasool Heydari, Hector Young, Freddy Flores-Bahamonde, Sadegh Vaez-Zadeh, Catalina Gonzalez-Castano, Sanaz Sabzevari, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


With the increasing penetration of distributed energy resources (DERs) into islanded Microgrids (MGs), grid-forming inverters (GFI) have become the key element interfacing renewable energy sources (RES). Usually, the GFI is employed with an output filter to minimize the harmonics content achieving high-quality output voltage regulation. To this end, model predictive control (MPC) has been widely proposed to control the output voltage of GFI systems due to the high-quality performance, fast control response, and straightforward handling of constraints. However, an accurate model of the system is required for the conventional MPC to avoid a sub-optimal performance under uncertainties. To overcome this known drawback, a novel Model-Free Predictive Control MF-PC is proposed in this paper. Consequently, the output voltage of an LCL-filtered GFI is regulated without knowledge of the physical model.

Original languageEnglish
JournalIEEE Transactions on Power Electronics
Publication statusAccepted/In press - 2022


  • Capacitors
  • Grid forming converter
  • Inverters
  • Mathematical models
  • microgrid
  • model-free predictive control
  • MPC
  • Predictive control
  • Predictive models
  • Switches
  • Voltage control
  • voltage source converter

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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