A Predictive Voltage–SVPWM Grid-Forming Control Strategy for Islanded Microgrids

Abdelwahab, Ammar Samir and Vokony, István (2026) A Predictive Voltage–SVPWM Grid-Forming Control Strategy for Islanded Microgrids. In: IEEE GPECOM 2026.

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Abstract

The increasing penetration of inverter-based resources in modern power systems leads to a significant reduction in system inertia, posing critical stability challenges for islanded microgrids. Conventional Grid Forming Inverter (GFM) strategies, such as droop control and Virtual synchronous mchine (VSM) emulation, exhibit inherent limitations including slow transient response, steady-state frequency deviation, and dependence on phase-locked loops (PLLs) and cascaded control structures. This paper proposes a two-layer GFM inverter control architecture that integrates continuous-control-set model predictive control (CCS-MPC) for voltage reference generation in the stationary (αβ) reference frame with fixed-frequency space vector pulse-width modulation (SVPWM) for switching realization. The architecture eliminates PLLs and synchronous reference frame transformations, making it inherently suited for autonomous islanded operation. An explicit power–voltage (P–V) droop mechanism is embedded within the predictive control layer, providing simultaneous voltage regulation, active power management, and inherent current limiting without a dedicated current control loop. The proposed controller is validated under dynamic load step variations and a severe symmetrical threephase-to-ground fault and benchmarked against conventional droop and VSM-based GFM strategies. Results demonstrate a voltage settling time of 0.05 s — approximately 70% faster than conventional methods — zero steady-state frequency deviation, and excellent power quality with voltage and current THD of 1.35% and 0.62%, respectively. All performance metrics comply fully with IEEE Std. 1547-2018 and IEEE Std. 519-2022, confirming the effectiveness of the proposed architecture for highperformance islanded microgrid applications.

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