Hybrid AC/DC microgrids (HMGs) are pivotal for integrating renewable resources, yet their stability and resilience are fundamentally constrained by the power electronic converters that interface them. This paper provides a critical review and synthesis of the co-dependent advancements in HMG converter topologies, control strategies, and fault management. Through a systematic analysis of the state of the art, this review examines the evolution from classical control to intelligent, software-defined converter functions. The analysis reveals a fundamental bifurcation in design philosophy between low-voltage (LV) and medium-voltage (MV) systems, driven by a trade-off between power density Gallium Nitride (GaN) and systemic reliability silicon carbide (SiC). Furthermore, it highlights the rise of virtualization, namely virtual Inertia control (VIC) and adaptive virtual impedance control (AVIDC), as a dominant paradigm to compensate for the physical limitations of low-inertia, resistive grids. Finally, this review identifies a critical, synergistic dependency in fault management, where ultra-fast solid-state circuit breakers (SSCBs) guarantee the survivability of vulnerable voltage source converters (VSCs), which in turn enables software-based resilience via fault ride-through (FRT). This synthesis concludes that the converter has become the intelligent nexus of the HMG and identifies the primary barriers to widespread adoption as the computational, economic, and standardization gaps in this new cyber–physical domain.

Advancing hybrid AC/DC microgrid converters. Modeling, control strategies, and fault behavior analysis / Jabari, Mostafa; Ghoreishi, Mohammad; Bragatto, Tommaso; Santori, Francesca; Cresta, Massimo; Geri, Alberto; Maccioni, Marco. - In: ENERGIES. - ISSN 1996-1073. - 18:23(2025), pp. 1-40. [10.3390/en18236302]

Advancing hybrid AC/DC microgrid converters. Modeling, control strategies, and fault behavior analysis

Mostafa Jabari
Primo
;
Mohammad Ghoreishi;Tommaso Bragatto;Massimo Cresta;Alberto Geri;Marco Maccioni
2025

Abstract

Hybrid AC/DC microgrids (HMGs) are pivotal for integrating renewable resources, yet their stability and resilience are fundamentally constrained by the power electronic converters that interface them. This paper provides a critical review and synthesis of the co-dependent advancements in HMG converter topologies, control strategies, and fault management. Through a systematic analysis of the state of the art, this review examines the evolution from classical control to intelligent, software-defined converter functions. The analysis reveals a fundamental bifurcation in design philosophy between low-voltage (LV) and medium-voltage (MV) systems, driven by a trade-off between power density Gallium Nitride (GaN) and systemic reliability silicon carbide (SiC). Furthermore, it highlights the rise of virtualization, namely virtual Inertia control (VIC) and adaptive virtual impedance control (AVIDC), as a dominant paradigm to compensate for the physical limitations of low-inertia, resistive grids. Finally, this review identifies a critical, synergistic dependency in fault management, where ultra-fast solid-state circuit breakers (SSCBs) guarantee the survivability of vulnerable voltage source converters (VSCs), which in turn enables software-based resilience via fault ride-through (FRT). This synthesis concludes that the converter has become the intelligent nexus of the HMG and identifies the primary barriers to widespread adoption as the computational, economic, and standardization gaps in this new cyber–physical domain.
2025
control strategies; fault management; hybrid AC/DC microgrids; microgrid resilience; power converters; virtual inertia
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Advancing hybrid AC/DC microgrid converters. Modeling, control strategies, and fault behavior analysis / Jabari, Mostafa; Ghoreishi, Mohammad; Bragatto, Tommaso; Santori, Francesca; Cresta, Massimo; Geri, Alberto; Maccioni, Marco. - In: ENERGIES. - ISSN 1996-1073. - 18:23(2025), pp. 1-40. [10.3390/en18236302]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1759178
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