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Advances in Power Distribution Systems: 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 25 June 2026 | Viewed by 217

Special Issue Editors


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Guest Editor
School of Information Science and Engineering, Northeastern University, Shenyang, China
Interests: fault detection; smart grid; electric engineering
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Guest Editor
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: distributed control; real-time simulation of microgrids and smart distribution systems
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Guest Editor
College of Electric and Automation Technology, Hefei University of Technology, Hefei, China
Interests: pattern recognition; smart grid; sensor networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Interests: new energy generation and smart grid; energy Internet; real-time simulation of power systems
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Special Issue Information

Dear Colleagues,

In order to promote energy composition, wind power and photovoltaic power supplies will continue to be connected to the distribution network. This will give the modern distribution network more modern characteristics; however, new energy generation is intermittent and random, and needs to be connected to the grid using power electronic equipment, resulting in profound changes in the structure, form, operation mode, dynamic behavior, and fault characteristics of the distribution system. Therefore, the modeling analysis, comprehensive planning, optimized operation, control and protection, market operation, safety, and reliability of future distribution networks bring great challenges. In order to present the latest research progress and development trends in the above fields, as well as share the latest academic achievements in relation to the theory, methods, technology, and applications of these areas, this Special Issue, ‘Advances in Power Distribution Systems: 2nd Edition’, will be published in the Energies journal.

Topics of interest for publication include, but are not limited to, the following:

  • Active power distribution network modeling and simulation;
  • New topology of power distribution networks;
  • Fault protection and self-healing methods;
  • Broad-frequency oscillation suppression;
  • Flexible interconnection technology;
  • Stability control strategies;
  • Optimizations of scheduling technology;
  • Distributed power generation and microgrid technology;
  • Applications of AI in new power distribution systems;
  • Power quality analysis and control;
  • New building energy systems;
  • Source charge interaction technology;
  • Communication technology of distribution networks.

Prof. Dr. Dazhong Ma
Dr. Wei Liu
Prof. Dr. Wei Sun
Prof. Dr. Zhenghang Hao
Guest Editors

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

  • power distribution networks
  • stability control
  • microgrid
  • power quality
  • new building energy systems

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Published Papers (1 paper)

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Research

35 pages, 1661 KB  
Article
A Neural Network Integration of Virtual Synchronous Motor-Based EV Charging Stations Control Performance and Plant Stability Enhancement
by Kabir Momoh, Shamsul Aizam Zulkifli, Mohammed F. Allehyani, Husam S. Samkari, Abdulgafor Alfares, Petr Korba, Mohd Zamri Che Wanik and Muhamad Syazmie Sepeeh
Energies 2026, 19(3), 864; https://doi.org/10.3390/en19030864 - 6 Feb 2026
Abstract
Control techniques for neural-network-based charging stations (CSs) are attracting attention worldwide. This popularity is due to the emergent need for alternative intelligent and adaptive control solutions for attaining a CS with stabilized power transfer and voltage control at the point of common coupling. [...] Read more.
Control techniques for neural-network-based charging stations (CSs) are attracting attention worldwide. This popularity is due to the emergent need for alternative intelligent and adaptive control solutions for attaining a CS with stabilized power transfer and voltage control at the point of common coupling. This paper demonstrates novel neural-network-based improved virtual synchronous motor (NN-i-VSM) control through the mechanism of the charging voltage feedback in conjunction with a trained neural network model to adaptively produce field excitation (MN) that mimics a virtual flux model. The MN adaptively generates an electromotive force based on the trained NN output to control the rectifying converter response of the CS for power quality enhancement during multiple-CS operation. Simulation results in the scenario of multiple CSs at 750 kW (5 × 150 kW) with varying capacities showed significant improvement in voltage variable tracking capacity of up to 500 V as well as power response overshot reduction and grid voltage response tracking improvement compared with an i-VSM-based CS model. A comprehensive CS efficiency assessment and plant stability analysis, including Bode plot evaluation, further confirmed the superior dynamic response performance and robustness of the NN-i-VSM model over the i-VSM model. The proposed model offers scalable applicability in smart mobility and wireless CS integration, signifying a new control advancement for future generations of multiple-grid-friendly charging infrastructure for penetration of batteries at varying capacities. Full article
(This article belongs to the Special Issue Advances in Power Distribution Systems: 2nd Edition)
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