Adaptive virtual inertia control is proposed to enhance frequency stability in a microgrid under different disturbances. During designing, performance index, RoCoF, frequency zenith, and
It performs better than ARO and CHOA, and thus it shows superior frequency stabilization, less overshot, and a faster settling time as indicated by simulation data.
The introduction for this paper discusses the critical importance of voltage and frequency stability (VS and FS) within microgrids (MGs) for ensuring the reliable and efficient operation of these
The importance of rotor angle, voltage, and frequency in stability issues is highlighted in Table 1 for microgrids and conventional grids as both face these challenges.
Grid dynamics are being impacted by decreasing inertia, as conventional generators with massive spinning cores are replaced by dc renewable sources. This leads to a risk of destabilization
It offers insights into their application, effectiveness, and advantages in frequency control during microgrid operation, contributing to the ongoing discourse on integrating renewable energy
These improvements suggest that the proposed method enhances system stability and control precision by approximately 95% compared to conventional methods, as it achieves much
The paper proposes innovative control measures to enhance frequency stability, including improvements in master-slave control, droop control, phase-locked loop, and virtual
Batteries and supercapacitors are recommended in this study to improve frequency stability and response. The study was carried out using the voltage source inverter design with a
The results obtained signify highly efficient voltage and frequency stability, improved system resilience under dynamic conditions, and optimal power-sharing among DGs.
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