Emerging Technologies in DC Microgrids

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 2125

Special Issue Editors

Powertech Labs Inc., Surrey, BC V3W 7R7, Canada
Interests: AC/DC grids; electromagnetic transient simulation; high-performance computing; microgrids; real-time simulation; transient stability analysis

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Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Interests: digital twins of power systems; microgrids; power electronics; device-level modelling; parallel simulation

Special Issue Information

Dear Colleagues,

DC microgrids can operate in an island mode to support local energy consumption or a grid-tied mode that makes it interactive with a large power system. The convenience of installation and the subsequent common existence of DC microgrids enable the integration of various sources and loads, including but not limited to photovoltaic generation, wind turbines, battery energy storage systems, and electric vehicles. This increasing diversity, whilst potentially capable of improving the performance of microgrids and the external power systems they connect to, poses a significant challenge to planning, operation, management, monitoring, study, etc.

As a new paradigm of the power grid, the architecture design, system operation, device maintenance, and fault diagnosis of DC microgrids remain to be resolved. This Special Issue is, therefore, focused on emerging technologies and aims to seek high-quality submissions that address recent breakthroughs in DC microgrids. The topics of interest include, but are not limited to, the following:

  1. Application of artificial intelligence;
  2. Control, planning, and operations;
  3. Energy management and multi-energy complement;
  4. Fault diagnosis, warning, and situational awareness;
  5. Hardware-in-loop testing and digital twins;
  6. Interaction of microgrids with power systems;
  7. Modelling, analysis, and design;
  8. New energy sources and storage technologies;
  9. Power quality enhancement;
  10. Protection strategies;
  11. Stability analysis of microgrids;
  12. Stationary and mobile microgrids.

Dr. Ning Lin
Dr. Ruimin Zhu
Guest Editors

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Keywords

  • artificial intelligence
  • digital twin
  • electric vehicle
  • energy management
  • energy storage
  • hardware-in-the-loop testing
  • hydrogen energy
  • multi-energy complement
  • renewable energy
  • transient stability
  • voltage balancing

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Published Papers (2 papers)

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Research

21 pages, 4853 KiB  
Article
Development of Digital Twin for DC-DC Converters Under Varying Parameter Conditions
by Benjamin Jessie, Thor Westergaard, Babak Fahimi and Poras Balsara
Electronics 2025, 14(13), 2549; https://doi.org/10.3390/electronics14132549 - 24 Jun 2025
Viewed by 334
Abstract
The constantly changing characteristics of sources, loads, and operating environments in microgrids aboard marine vessels warrant the need for the real-time and accurate transient state estimation of the various converters used for power flow management. This paper presents the digital twin development for [...] Read more.
The constantly changing characteristics of sources, loads, and operating environments in microgrids aboard marine vessels warrant the need for the real-time and accurate transient state estimation of the various converters used for power flow management. This paper presents the digital twin development for a parameter-varying non-isolated DC-DC buck (step down) converter to demonstrate the potential of circuit identification and state estimation within a single digital twin model. The digital twin will utilize individual and parameter-specific NARX-RNNs in a centralized model to identify and adapt system state predictions relative to the most current configuration of the buck converter. Additionally, the model’s ability to maintain state estimation accuracy in the presence of circuit component variation will be demonstrated through simulated deviations from nominal values, and model versatility will be shown through testing a simulation-based model on physical hardware. This modular model, which is demonstrated through simulation and experimentation, can be adapted and scaled for additional circuit configurations. It has the potential to be integrated into real-time system monitoring and fault detection systems within multi-converter microgrid environments. Full article
(This article belongs to the Special Issue Emerging Technologies in DC Microgrids)
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21 pages, 12536 KiB  
Article
An Energy Management System for Distributed Energy Storage System Considering Time-Varying Linear Resistance
by Yuanliang Fan, Zewen Li, Xinghua Huang, Dongtao Luo, Jianli Lin, Weiming Chen, Lingfei Li and Ling Yang
Electronics 2024, 13(21), 4327; https://doi.org/10.3390/electronics13214327 - 4 Nov 2024
Cited by 1 | Viewed by 1039
Abstract
As the proportion of renewable energy in energy use continues to increase, to solve the problem of line impedance mismatch leading to the difference in the state of charge (SOC) of each distributed energy storage unit (DESU) and the DC bus voltage drop, [...] Read more.
As the proportion of renewable energy in energy use continues to increase, to solve the problem of line impedance mismatch leading to the difference in the state of charge (SOC) of each distributed energy storage unit (DESU) and the DC bus voltage drop, a distributed energy storage system control strategy considering the time-varying line impedance is proposed in this paper. By analyzing the fundamental frequency harmonic components of the pulse width modulation (PWM) signal carrier of the converter output voltage and output current, we can obtain the impedance information and, thus, compensate for the bus voltage drop. Then, a novel, droop-free cooperative controller is constructed to achieve SOC equalization, current sharing, and voltage regulation. Finally, the validity of the system is verified by a hardware-in-the-loop experimental platform. Full article
(This article belongs to the Special Issue Emerging Technologies in DC Microgrids)
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