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Advances in Microgrid Power Management: Cutting-Edge Approaches and Emerging Technologies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 25 August 2026 | Viewed by 1836

Special Issue Editor


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Guest Editor
Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Interests: distributed generation system; AC/DC microgrid; renewable energy; design of DSP-based digital controller
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Special Issue Information

Dear Colleagues,

The global energy infrastructure is undergoing a transformation, driven by the need for sustainable and resilient power systems. As traditional centralized power generation models face challenges of efficiency, reliability, and environmental impact, the demand for decentralized energy solutions is attracting worldwide attention from researchers.

Microgrids have emerged as a promising concept that offers a new paradigm for efficient and flexible power distribution and management. A microgrid, defined as a localized and self-contained power system, provides a reliable and resilient electricity supply. In general, a microgrid integrates various distributed energy resources, renewable energy, energy storage systems, and loads. As the world’s energy situation keeps changing, microgrids are becoming increasingly important in driving the shift toward a sustainable and reliable energy future.

Due to the advantages of easy resource integration, flexible installation location, and reliable operation, distributed generation-based microgrids have become a future trend in constructing electric power systems.

Energy storage systems are usually integrated with microgrids in order to improve the reliability of system operation by reducing the intermittent nature of renewable energy sources.

This Special Issue, both theoretical and experimental works are welcome. Topics of interest for publication include, but are not limited to, the following:

  • Microgrid power management;
  • Distributed generation systems;
  • Renewable energy;
  • AC/DC microgrids;
  • Power electronic interfaces;
  • Power converter control design.

Prof. Dr. Kyeong-Hwa Kim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microgrid power management
  • distributed generation systems
  • renewable energy
  • AC/DC microgrid
  • power electronic interfaces

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Published Papers (2 papers)

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Research

22 pages, 3120 KB  
Article
A Grid-Forming Energy Storage System Capacity Planning Method Considering Device Lifetime
by Guisen Ye, Jingyang Fang, Nan Wang, Yinan Gaogao and Kangyuan Sun
Energies 2026, 19(3), 639; https://doi.org/10.3390/en19030639 - 26 Jan 2026
Viewed by 520
Abstract
As the use of renewable energy increases, the inertia and frequency stability of the power system continuously decrease, which seriously threatens the stable operation of the power grid. To address the problem of frequency instability, grid-forming energy storage systems (ESS) and associated microgrids [...] Read more.
As the use of renewable energy increases, the inertia and frequency stability of the power system continuously decrease, which seriously threatens the stable operation of the power grid. To address the problem of frequency instability, grid-forming energy storage systems (ESS) and associated microgrids have arisen as promising solutions, and their scheduling and capacity planning have become critical issues directly affecting operational costs. However, existing research often ignores battery aging, which may lead to excessive degradation and higher equipment replacement costs. To solve this problem, this paper proposes a grid-forming battery energy storage system capacity planning method that explicitly considers device lifetime, incorporating battery aging into the optimization objective through the rain-flow counting algorithm. Furthermore, an optimization framework combining the genetic algorithm, rain-flow counting method, and branch-and-cut algorithm is developed. To verify the effectiveness of the proposed method, simulations of 12 typical days are conducted on the Gurobi platform to compare the overall cost in five different cases. The results prove that the proposed method can reduce the overall cost by 1.51–6.82% compared to cases where the device lifetime and workload flexibility are not considered, and a good frequency-support performance is achieved. Full article
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25 pages, 10087 KB  
Article
Stability Assessment and Current Controller Design for Multiple Grid-Connected Inverters Under LC Grid Impedance and Grid Distortions
by Sung-Dong Kim, Min Kang, Seung-Yong Yeo, Luong Duc-Tai Cu and Kyeong-Hwa Kim
Energies 2025, 18(20), 5524; https://doi.org/10.3390/en18205524 - 20 Oct 2025
Viewed by 694
Abstract
The increasing global energy demand is driving the deployment of renewable energy in the electrical power infrastructure, which emphasizes the critical importance of grid-connected inverters (GCIs). As the power injected into the utility grid increases, GCIs commonly operate in parallel. However, interactions between [...] Read more.
The increasing global energy demand is driving the deployment of renewable energy in the electrical power infrastructure, which emphasizes the critical importance of grid-connected inverters (GCIs). As the power injected into the utility grid increases, GCIs commonly operate in parallel. However, interactions between multiple GCIs and the presence of LC grid impedance pose significant challenges to the stable operation of GCIs. Existing control strategies to deal with multiple GCIs often neglect the capacitive component of grid impedance, which results in instability and deteriorated power quality in a complex grid condition. To overcome these problems, this study proposes a current control scheme and stability assessment of multiple GCIs. To effectively mitigate high-frequency resonance, the proposed method is achieved by an incomplete state feedback control which eliminates the feedback control terms for unmeasurable states. Furthermore, resonant and integral control terms are incorporated to reduce steady-state error as well as to improve harmonic compensation induced by the PCC voltages. A full-state observer is employed to reduce sensing requirements and simplify system complexity. Multiple-GCI behavior is comprehensively analyzed under complex grid environments. A comprehensive stability assessment is also conducted to evaluate the interactions of multiple GCI systems with LC grid impedance. The effectiveness of the designed controller in enhancing power quality and guaranteeing system stability is validated by theoretical analysis, PSIM simulations, and experimental tests on a DSP-controlled 2 kW prototype system. Full article
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