Resilient Hierarchical Power Control for Hybrid GFL/GFM Microgrids Under Mixed Cyber-Attacks and Physical Constraints
Lifu Ding, Chunhui Hou, Yutong Li, and Qinmin Yang

TL;DR
This paper introduces a resilient hierarchical control framework for hybrid microgrids with GFL and GFM inverters, enhancing stability, power sharing, and cyber-attack resilience through innovative control strategies and predictors.
Contribution
It develops a unified control scheme addressing physical constraints and cyber threats, integrating a power increment mechanism, dynamic saturation handling, and advanced predictors.
Findings
Improved power sharing accuracy in simulations.
Enhanced resilience against cyber-attacks and data losses.
Stable operation confirmed by theoretical analysis.
Abstract
Hybrid microgrids integrating Grid-Following (GFL) and Grid-Forming (GFM) inverters present complex control challenges arising from the decoupling between long-term economic dispatch and real-time dynamic regulation, as well as the distinct physical limitations of heterogeneous inverters under cyber uncertainties. This paper proposes a Resilient Hierarchical Power Control (RHPC) strategy to unify these conflicting requirements within a cohesive framework. A standardized power increment mechanism is developed to bridge the tertiary and secondary layers, ensuring that real-time load fluctuations are compensated strictly according to the optimal economic ratios derived from the tertiary layer. To address the strict active power saturation constraints of GFL units, a dynamic activation scheme coupled with projection operators is introduced, which actively isolates saturated nodes from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Security and Resilience · Islanding Detection in Power Systems
