Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters


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D'Silva S., Zare A., Shadmand M. B., Bayhan S., Abu-Rub H.

IEEE Transactions on Industrial Electronics, vol.71, no.2, pp.1547-1558, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 71 Issue: 2
  • Publication Date: 2024
  • Doi Number: 10.1109/tie.2023.3262866
  • Journal Name: IEEE Transactions on Industrial Electronics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.1547-1558
  • Keywords: Frequency restoration, grid-following (GFL) inverter, grid-forming (GFM) inverter, resiliency
  • Gazi University Affiliated: Yes

Abstract

This article proposes an autonomous control scheme to mitigate voltage-frequency excursions observed in a network of grid-forming (GFM) and grid-following (GFL) inverters in a power-electronics-dominated grid (PEDG). The proposed control scheme leverages the GFL inverter's ability to dynamically adjust their power set-points as well as change their operation mode on-the-fly to enhance the PEDG resiliency. A supervisory controller comprising of a droop-ΔP estimator coupled with an optimal power allocator module dynamically adjusts the power injections from GFL inverters to maintain the power balance and restore frequency in response to disturbances. Moreover, the proposed self-ranking-based coordinated mode selection algorithm dynamically reconfigures the inverter's operation mode (either GFM or GFL) to enhance the PEDG resiliency in response to events and ensure GFM inverter allocation in grid clusters. Several case studies are performed to validate the feasibility, performance, and robustness of the proposed autonomous control. Finally, the proposed scheme is experimentally validated on a small-scale hardware testbed.