Enhancing Transient Response in Autonomous DC microgrids Via Adaptive Droop control with Virtual inertia

The intrinsic inertia supplied by DC capacitors in DC microgrids is restricted, making the voltage of DC bus prone to variations in the power. This leads to reduced quality of the DC output voltage. This paper presents virtual inertia and damping control (VID) method based on adaptive droop control (ADC) is proposed and applied with the energy storage units (ESUs). The implementation of the VID strategy is based on the operational dynamics of capacitors during both charging and discharging phases. The strategy aims to regulate the exterior features of converters found in DC microgrids (DCMG), with the goal of enhancing the inertia and damping properties of the system. The VID method succeeded in reinforcing the inertia and damping of DC microgrids in addition to achieving acceptable power sharing between energy storage units. The control method is implemented using MATLAB software. The obtained results indicated the efficiency and high potential of the suggested scheme.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850378
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.66
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article

Enhancing Transient Response in Autonomous DC microgrids Via Adaptive Droop control with Virtual inertia

Ahmed M. Azmy, Eman K. Belal, Gamal E. M. Ali, Doaa M. Yehia et al.
2 citations
Microgrid Control and Optimization
0.66
article

Enhancing Transient Response in Autonomous DC microgrids Via Adaptive Droop control with Virtual inertia

Ahmed M. Azmy, Eman K. Belal, Gamal E. M. Ali, Doaa M. Yehia, Ahmed E. El Gebaly
article en
2 citations

Abstract

The intrinsic inertia supplied by DC capacitors in DC microgrids is restricted, making the voltage of DC bus prone to variations in the power. This leads to reduced quality of the DC output voltage. This paper presents virtual inertia and damping control (VID) method based on adaptive droop control (ADC) is proposed and applied with the energy storage units (ESUs). The implementation of the VID strategy is based on the operational dynamics of capacitors during both charging and discharging phases. The strategy aims to regulate the exterior features of converters found in DC microgrids (DCMG), with the goal of enhancing the inertia and damping properties of the system. The VID method succeeded in reinforcing the inertia and damping of DC microgrids in addition to achieving acceptable power sharing between energy storage units. The control method is implemented using MATLAB software. The obtained results indicated the efficiency and high potential of the suggested scheme.

Tanta University (EG)
Openalex Percentile: Top 27%
Microgrid Control and Optimization
0.66
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