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Technologies
Special Issues
Next-Generation Distribution System Planning, Operation, and Control
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Next-Generation Distribution System Planning, Operation, and Control

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 6971

Special Issue Editors

Dr. Da Xu

E-Mail Website
Guest Editor
School of Automation, China University of Geosciences, Wuhan 430074, China
Interests: multi-energy buildings; transactive energy control; demand response; urban distribution networks
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaodong Yang

E-Mail Website
Guest Editor
Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230002, China
Interests: multi-microgrids system; demand response; urban distribution networks
Special Issues, Collections and Topics in MDPI journals
Dr. Juan Wei

E-Mail Website
Guest Editor
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: renewable energy integration; power system; wind farm optimization and control; voltage control
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaoshun Zhang

E-Mail Website
Guest Editor
Foshan Graduate School of Innovation, Northeastern University, Foshan 528311, China
Interests: artificial intelligence and power grid dispatch, electric carbon measurement and applications, generation control of renewable energy

Special Issue Information

Dear Colleagues,

The past years has seen a progressive urbanization and upgrading process, along with the intelligentialization and popularity of energy-intensive appliances via advanced information and communications technologies. Next-generation distribution systems encompass various innovative technologies, strategies, and concepts aimed at transforming traditional power distribution into a more intelligent, efficient, and sustainable network. Therefore, new planning, operation, and control strategies for next-generation distribution system are becoming a pressing need.

In this Special Issue, articles on topics such as cyber–physical systems, renewable energy integration, next-generation distribution systems, and so on are of interest. This Special Issue intends to act as a forum for the dissemination of the latest research and developments in strategies for next-generation distribution systems in the context of “CO2 peaking and neutrality”.

Dr. Da Xu
Dr. Xiaodong Yang
Dr. Juan Wei
Dr. Xiaoshun Zhang
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Technologies is an international peer-reviewed open access monthly 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 1600 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

  • cyber–physical system
  • distribution systems
  • multi-energy system
  • economic optimization strategies
  • renewable energy integration and control
  • demand response strategies
  • transactive energy control
  • power/load forecasting
  • voltage control
  • AI

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Published Papers (5 papers)

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Research

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30 pages, 7670 KiB  
Article
Comparative Analysis of Energy Consumption and Performance Metrics in Fuel Cell, Battery, and Hybrid Electric Vehicles Under Varying Wind and Road Conditions
by Ahmed Hebala, Mona I. Abdelkader and Rania A. Ibrahim
Technologies 2025, 13(4), 150; https://doi.org/10.3390/technologies13040150 - 9 Apr 2025
Viewed by 632
Abstract
As global initiatives to reduce greenhouse gas emissions and combat climate change expand, electric vehicles (EVs) powered by fuel cells and lithium-ion batteries are gaining global recognition as solutions for sustainable transportation due to their high energy conversion efficiency. Considering the driving range [...] Read more.
As global initiatives to reduce greenhouse gas emissions and combat climate change expand, electric vehicles (EVs) powered by fuel cells and lithium-ion batteries are gaining global recognition as solutions for sustainable transportation due to their high energy conversion efficiency. Considering the driving range limitations of battery electric vehicles (BEVs) and the low efficiency of internal combustion engines (ICEs), fuel cell hybrid vehicles offer a compelling alternative for long-distance, low-emission driving with less refuelling time. To facilitate their wider scale adoption, it is essential to understand their energy performance through models that consider external weather effects, driving styles, road gradients, and their simultaneous interaction. This paper presents a microlevel, multicriteria assessment framework to investigate the performance of BEVs, fuel cell electric vehicles (FCEVs), and hybrid electric vehicles (HEVs), with a focus on energy consumption, drive systems, and emissions. Simulation models were developed using MATLAB 2021a Simulink environment, thus enabling the integration of standardized driving cycles with real-world wind and terrain variations. The results are presented for various trip scenarios, employing quantitative and qualitative analysis methods to identify the most efficient vehicle configuration, also validated through the simulation of three commercial EVs. Predictive modelling approaches are utilized to estimate a vehicle’s performance under unexplored conditions. Results indicate that trip conditions have a significant impact on the performance of all three vehicles, with HEVs emerging as the most efficient and balanced option, followed by FCEVs, making them strong candidates compared with BEVs for broader adoption in the transition toward sustainable transportation. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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18 pages, 5092 KiB  
Article
Predicting the Temperature of a Permanent Magnet Synchronous Motor: A Comparative Study of Artificial Neural Network Algorithms
by Nabil El Bazi, Nasr Guennouni, Mohcin Mekhfioui, Adil Goudzi, Ahmed Chebak and Mustapha Mabrouki
Technologies 2025, 13(3), 120; https://doi.org/10.3390/technologies13030120 - 17 Mar 2025
Cited by 1 | Viewed by 417
Abstract
The accurate prediction of temperature in Permanent Magnet Synchronous Motors (PMSMs) has always been essential for monitoring performance and enabling predictive maintenance in the industrial sector. This study examines the efficiency of a set of artificial neural network (ANN) models, namely Multilayer Perceptron [...] Read more.
The accurate prediction of temperature in Permanent Magnet Synchronous Motors (PMSMs) has always been essential for monitoring performance and enabling predictive maintenance in the industrial sector. This study examines the efficiency of a set of artificial neural network (ANN) models, namely Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), in predicting the Permanent Magnet Temperature. A comparative evaluation study is conducted using common performance indicators, including root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2), to assess the predictive accuracy of each model. The intent is to identify the most favorable model that balances high accuracy with low computational cost. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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15 pages, 912 KiB  
Article
A Three-Level Service Quality Index System for Wind Turbine Groups Based on Fuzzy Comprehensive Evaluation
by Xueting Cheng, Jie Hao, Yuxiang Li, Juan Wei, Weiru Wang and Yaohui Lu
Technologies 2024, 12(11), 234; https://doi.org/10.3390/technologies12110234 - 20 Nov 2024
Viewed by 1733
Abstract
The maintenance and upkeep costs of wind farms and their internal wind turbines have been increasing annually. Therefore, a systematic evaluation of their operating status is of great importance in guiding reductions in maintenance and upkeep costs. In this aspect, this article proposes [...] Read more.
The maintenance and upkeep costs of wind farms and their internal wind turbines have been increasing annually. Therefore, a systematic evaluation of their operating status is of great importance in guiding reductions in maintenance and upkeep costs. In this aspect, this article proposes a three-level service quality index system of “key component–wind turbine–wind farm” based on the fuzzy comprehensive evaluation method. Firstly, raw data on the wind farm are preprocessed to avoid the impact of abnormal data on the evaluation results. Then, the data types are classified and the degradation degree of each indicator is calculated. Based on the entropy weight method, the weight of each indicator is weighted and summed to obtain the overall membership degree. Finally, the overall health level is determined according to the “maximum membership degree”, which is the evaluation result. This article conducts an evaluation experiment based on the actual operating data of Gansu Huadian Nanqiu Wind Farm. The example shows that the proposed strategy can systematically evaluate the health level of wind farms and predict the future trends of health status changes. The research results can provide reference for the reasonable arrangement of unit scheduling, operation, and maintenance plans in wind farms. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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Review

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40 pages, 8054 KiB  
Review
Solid State Transformers: A Review—Part I: Stages of Conversion and Topologies
by Dragoș-Mihail Predescu and Ștefan-George Roșu
Technologies 2025, 13(2), 74; https://doi.org/10.3390/technologies13020074 - 10 Feb 2025
Viewed by 1724
Abstract
Solid State Transformers (SSTs) represent an emerging technology that seeks to improve upon traditional Low-Frequency Transformers (LFTs) with Medium-Frequency Transformers (MFTs) of reduced core size while incorporating modular converter structures as their input and output stages. In addition to magnetic circuit reduction, SSTs [...] Read more.
Solid State Transformers (SSTs) represent an emerging technology that seeks to improve upon traditional Low-Frequency Transformers (LFTs) with Medium-Frequency Transformers (MFTs) of reduced core size while incorporating modular converter structures as their input and output stages. In addition to magnetic circuit reduction, SSTs provide enhanced functionalities such as power factor correction, voltage regulation, and the capability to interface with various sources and loads. However, owing to the novelty of SSTs and the various proposed implementations, a general review would difficult to follow and might not be able to adequately analyze each aspect of SST structures. This complexity underscores the need for a new division of information and classification based on the number of conversion stages, which is the main contribution of this study. Converter functionalities are derived based on the number of stages. Utilizing these functionalities along with existing and proposed implementations, converter topologies are identified and then detailed in terms of their respective functionalities, advantages, disadvantages, and control schemes. The subsequent chapters provide a comparative analysis of the different topologies and present existing SST implementations. For this analysis, metrics such as the number of SST stages, power flow, voltage control, power quality, and component count are used. Based on the resulting analysis, single-stage SSTs are a promising solution that emphasize economy and high power density, while multi-stage SSTs are also a viable solution thanks to their ease of control and flexible design. This paper constitutes the first part of a two-part review. The second part will focus on the degrees of design freedom (such as multilevel structures/cells) and provide a generalized approach to modularity within SST systems. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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30 pages, 13507 KiB  
Review
Solid-State Transformers: A Review—Part II: Modularity and Applications
by Dragoș-Mihail Predescu and Ștefan-George Roșu
Technologies 2025, 13(2), 50; https://doi.org/10.3390/technologies13020050 - 28 Jan 2025
Viewed by 1946
Abstract
The Solid-State Transformer (SST) is a complex conversion device that intends to replace the Low-Frequency Transformers (LFTs) used in various power applications with Medium- or High-Frequency Transformers (MFTs/HFTs) that integrate modular converter structures as their input and output stages. The purpose is to [...] Read more.
The Solid-State Transformer (SST) is a complex conversion device that intends to replace the Low-Frequency Transformers (LFTs) used in various power applications with Medium- or High-Frequency Transformers (MFTs/HFTs) that integrate modular converter structures as their input and output stages. The purpose is to obtain additional capabilities, such as power factor correction, voltage control, and interconnection of distributed supplies, among others, while reducing the overall volume. Given the expansive research conducted in this area in the past years, the volume of information available is large, so the main contribution of this paper is a new method of classification based on the modular construction of the SST derived from its applications and available constructive degrees of freedom. This paper can be considered the second part of a broader review in which the first part presented the fundamental converter roles and topologies. As a continuation, this paper aims to expand the definition of modularity to the entire SST structure and analyze how the converters can be combined in order to achieve the desired SST functionality. Three areas of interest are chosen: partitioning of power, phase modularity, and port configuration. The partitioning of power analyzes the fundamental switching cells and the arrangement of the converters across stages. Phase modularity details the construction of multiphase-system SSTs. Finally, the types of input/output ports, their placements, and roles are discussed. These characteristics are presented together with the applications in which they were suggested to give a broader context. Full article
(This article belongs to the Special Issue Next-Generation Distribution System Planning, Operation, and Control)
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