Development of a Novel IoT-Based Hierarchical Control System for Enhancing Inertia in DC Microgrids

One of the main challenges faced by DC microgrid (DCMG) is their low inertia, which leads to rapid and significant voltage fluctuations during load or generation changes. These fluctuations can negatively impact sensitive loads and protection devices. Previous studies have addressed this by enabling battery converters to mimic the behavior of synchronous generators (SGs), but this approach becomes ineffective when the converters or batteries reach their current or energy limits, leading to a loss of inertia and potential system instability. In interconnected multi-microgrid (MMG) systems, the presence of multiple batteries offers the potential to enhance system inertia, provided there is a coordinated control strategy. This research introduces a hierarchical control method that combines decentralized and centralized approaches. Decentralized control allows individual converters to emulate SG behavior, while the centralized control uses Internet of Things (IoT) technology to enable real-time coordination among all Energy Storage Units (ESUs). This coordination improves inertia across the DCMMG system, enhances energy management, and strengthens overall system stability. IoT integration ensures real-time data exchange, monitoring, and collaborative decision-making. The proposed scheme is validated through MATLAB simulations, with results confirming its effectiveness in improving inertial response and supporting the integration of renewable energy sources within DCMMGs.

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Publication Details

Journal
Smart Cities
Published
2025-10-08
DOI
https://doi.org/10.3390/smartcities8050166
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Development of a Novel IoT-Based Hierarchical Control System for Enhancing Inertia in DC Microgrids

Ahmed M. Azmy, Eman K. Belal, Ahmed E. ELGebaly, Gamal E. M. Ali et al.
2 citations
Smart Cities
Microgrid Control and Optimization
2.43
article

Development of a Novel IoT-Based Hierarchical Control System for Enhancing Inertia in DC Microgrids

Ahmed M. Azmy, Eman K. Belal, Ahmed E. ELGebaly, Gamal E. M. Ali, Doaa M. Yehia, Xiangning Lin
article en
2 citations

Abstract

One of the main challenges faced by DC microgrid (DCMG) is their low inertia, which leads to rapid and significant voltage fluctuations during load or generation changes. These fluctuations can negatively impact sensitive loads and protection devices. Previous studies have addressed this by enabling battery converters to mimic the behavior of synchronous generators (SGs), but this approach becomes ineffective when the converters or batteries reach their current or energy limits, leading to a loss of inertia and potential system instability. In interconnected multi-microgrid (MMG) systems, the presence of multiple batteries offers the potential to enhance system inertia, provided there is a coordinated control strategy. This research introduces a hierarchical control method that combines decentralized and centralized approaches. Decentralized control allows individual converters to emulate SG behavior, while the centralized control uses Internet of Things (IoT) technology to enable real-time coordination among all Energy Storage Units (ESUs). This coordination improves inertia across the DCMMG system, enhances energy management, and strengthens overall system stability. IoT integration ensures real-time data exchange, monitoring, and collaborative decision-making. The proposed scheme is validated through MATLAB simulations, with results confirming its effectiveness in improving inertial response and supporting the integration of renewable energy sources within DCMMGs.

Smart CitiesVol. 8(5)
Tanta University (EG), Huazhong University of Science and Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 10%
Microgrid Control and Optimization
2.43
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Development of a Novel IoT-Based Hierarchical Control System for Enhancing Inertia in DC Microgrids — Ahmed M. Azmy, Eman K. Belal, et al. · Smart Cities (2025) | TGRS Research Map | TGRS