Improved damping control method for grid-forming converters using LQR and optimally weighted feedback control loops

Mohamed Ahmed, Fahad Alsokhiry, Ayman S. Abdel-Khalik, Khaled H. Ahmed, Yusuf Al-Turki

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
5 Downloads (Pure)

Abstract

Power grid pattern is expected to evolve from generator-based power systems towards converter-based systems in the forthcoming decades. Therefore, grid-forming converters will be pertinent to interconnected power grids in pursuance of enhancement their resilience against disturbances. This paper introduces a new efficient damping control method for grid-forming converters that provides a smooth power modulation and an efficient damping response against frequency and voltage deviations. First, an averaged state-space representation for a grid forming application in dq synchronization frame is derived. Based on this model, a new hybrid damping controller, including the concept of state feedback control and PI control, is proposed to address the main issues in existing controllers. The state feedback controller is optimally designed using a linear-quadratic regulator (LQR) approach to optimize the system performance. Moreover, the PI controller is optimally designed using the pattern search algorithm. The proposed damping control method integrates optimally between the control loops through a mapping matrix to rapidly synchronize with the grid and efficiently damp the oscillations. Simulations are carried out to prove the proposed method robustness. Finally, a comparative study using controller hardware-in-the-loop (CHiL) is employed against conventional system to validate the proposed damping method.
Original languageEnglish
Pages (from-to)87484-87500
Number of pages17
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 24 Jun 2021

Keywords

  • grid-forming converters
  • inverter dominated grid
  • virtual inertia
  • damping emulation
  • weak grid
  • distributed generation
  • LQR design
  • pattern search

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