sustainability-logo

Journal Browser

Journal Browser

Advanced Developments in the Protection and Control of Power Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 2194

Special Issue Editors


E-Mail Website
Guest Editor
Electronic Information School, Wuhan University, Wuhan 430072, China
Interests: situation awareness; optimization of power systems

E-Mail Website
Guest Editor
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Interests: cyber-physical resilience; game theory applications in smart grid

E-Mail Website
Guest Editor
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Interests: power information system security

E-Mail Website
Guest Editor
School of Computer Engineering, Hubei University of Arts and Science, Xiangyang 441053, China
Interests: power information system security; reliability of substation automation system

Special Issue Information

Dear Colleagues,

Protection and control are important approaches to ensuring the safe operation and optimal scheduling of the power system. In recent years, the protection and control of power systems have faced increasing challenges. Now, more and more renewable energy resources are integrated into power systems, thus elevating the operational risks posed due to the uncertainty of renewable energy resources. Power systems have also become dominated by power electronics. The impacts of power electronic devices on power systems are more complex than those of traditional equipment. In addition to renewable energy resources, other distributed energy resources and more flexible resources, such as electric vehicles, have been introduced into power systems. The protection and control of modern power systems in required in order to implement these changes.

This Special Issue focuses on advanced developments in the protection and control of power systems. We encourage the contribution of original papers addressing power system analysis and control, power system planning, power system protection, and the impacts of large-scale electric vehicle integration and power electronic devices on power grids. We also welcome original research presenting new technologies such as artificial intelligence and the application of novel advanced communication technologies to the protection and control of power systems.

We look forward to receiving your contributions.

Prof. Dr. Xianpei Wang
Dr. Meng Tian
Dr. Zhengcheng Dong
Prof. Dr. Qilin 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. Sustainability 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 2400 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 system analysis and control
  • power system planning
  • power system protection
  • electric vehicles
  • power electronic devices
  • artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 6830 KiB  
Article
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
by Behrooz Taheri, Seyed Amir Hosseini and Hamed Hashemi-Dezaki
Sustainability 2025, 17(4), 1514; https://doi.org/10.3390/su17041514 - 12 Feb 2025
Cited by 1 | Viewed by 963
Abstract
This paper introduces an innovative method for the intelligent protection of AC microgrids that incorporate renewable energy sources and electric vehicle charging stations. To extract relevant features, current signals from both sides of the distribution line are sampled. Subsequently, the differential current is [...] Read more.
This paper introduces an innovative method for the intelligent protection of AC microgrids that incorporate renewable energy sources and electric vehicle charging stations. To extract relevant features, current signals from both sides of the distribution line are sampled. Subsequently, the differential current is calculated, and the resultant signals are processed using Compressed Sensing Theory and Variational Mode Decomposition to extract key features. These extracted features serve as input data for training the proposed wide and deep learning model. The proposed method was evaluated on a microgrid that incorporated electric vehicle chargers and wind turbines. The results indicate that this approach can effectively identify and categorize different types of faults in AC microgrids. Moreover, it demonstrates stable and dependable performance in the face of typical transients, and its accuracy is not influenced by uncertainties in the microgrid topology. Full article
(This article belongs to the Special Issue Advanced Developments in the Protection and Control of Power Systems)
Show Figures

Figure 1

Back to TopTop