Symmetries in Power Systems

A Special Issue of Symmetry (ISSN 2073-8994) belonging to the section "F: Engineering and Materials".

Deadline for manuscript submissions: 30 April 2027 | Viewed by 494

Editor


E-Mail Website
Guest Editor
The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China
Interests: power system stability control; non-contact measurement technology for electromagnetic parameters; and new energy grid connection technology

Special Issue Information

Dear Colleagues,

The rapid development of high renewable penetration, extensive power electronic interfaces, and complex hybrid grid structures has brought the issues of asymmetry in transmission lines and system operation to the forefront. Asymmetric overhead transmission lines, arising from transposition constraints, tower geometry, or unbalanced loading, present significant challenges for accurate parameter measurement, state estimation, and fault diagnosis. Traditional contact-based measurement methods are often costly, hazardous, and difficult to implement under live-line conditions, driving the need for advanced non-contact measurement technologies that can reliably capture electrical and geometric parameters of asymmetric lines. Furthermore, fault localization in asymmetric renewable power systems is complicated by time-varying topologies, bidirectional power flows, and the presence of both synchronous and converter-interfaced generations, rendering conventional fault analysis methods inadequate. In this context, the interplay between symmetry and asymmetry principles becomes essential—both for understanding the underlying physical characteristics of lines and systems, and for designing robust monitoring and fault detection schemes. Meanwhile, the increasing deployment of real-time sensing, wide-area measurement systems, and digital twin technologies opens new opportunities to capture, model, and mitigate the effects of asymmetry through high-resolution data and advanced analytics.

This Special Issue aims to bring together cutting-edge research on non-contact measurement technologies for asymmetric overhead transmission lines, novel fault location methods tailored for asymmetric new power systems, and the broader impact of symmetry/asymmetry on real-time monitoring and digitalization. We invite researchers to submit original research articles, comprehensive reviews, and applied case studies that address these interconnected topics. Contributions integrating artificial intelligence, machine learning, and data-driven techniques for asymmetry characterization, measurement data processing, and intelligent fault diagnosis are particularly encouraged.

Dr. Yankai Xing
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry 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 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

  • symmetry and asymmetry in overhead transmission line geometric and electrical parameter measurement
  • non-contact measurement technologies for asymmetric transmission lines
  • symmetry and asymmetry in fault analysis and localization methods for new power systems
  • fault location techniques under asymmetric line parameters, unbalanced loading, and hybrid grid topologies
  • symmetry and asymmetry in real-time monitoring and wide-area measurement systems
  • impact of line and system asymmetry on state estimation and dynamic awareness
  • symmetry and asymmetry in digital twin modelling and simulation for transmission and distribution networks
  • data-driven and ai-assisted methods for asymmetry detection, classification, and localization
  • synchronized phasor measurement and its application to asymmetry monitoring and fault analysis
  • non-contact sensing and online monitoring for live-line asymmetric overhead lines
  • symmetry and asymmetry in the fusion of mechanism-based and data-driven methods for power system analysis
  • symmetry and asymmetry in data-driven stability situational awareness and prediction for power systems

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

15 pages, 3252 KB  
Article
Symmetry-Guided Mechanism-Data Fusion Method for Minimum Inertia Requirement Assessment in Renewable Energy Power Systems
by Yongjie Zhang, Xinwei Du, Fang Liu, Yalong Mai and Jianbo Yi
Symmetry 2026, 18(8), 1361; https://doi.org/10.3390/sym18081361 - 13 Aug 2026
Viewed by 292
Abstract
With the steadily increasing penetration of renewable energy, the equivalent inertia of power systems continues to decline, and frequency stability is increasingly challenged. Consequently, a rapid and accurate assessment of the minimum inertia requirement is urgently needed. To address this challenge, this study [...] Read more.
With the steadily increasing penetration of renewable energy, the equivalent inertia of power systems continues to decline, and frequency stability is increasingly challenged. Consequently, a rapid and accurate assessment of the minimum inertia requirement is urgently needed. To address this challenge, this study proposes a mechanism–data fusion method for minimum inertia requirement assessment in renewable energy power systems. The assessment task is decomposed into two structurally symmetric subtasks corresponding to the mechanism and data pathways, where the same system operating state serves as the common input to both pathways. In the mechanism pathway, the minimum inertia requirement is analytically calculated using a generic system frequency response model with open-loop decoupling. In the data pathway, an extreme learning machine estimates the error between the mechanism result and the time-domain simulation benchmark to correct the mechanism result. Finally, the mechanism result and the data-based error compensation are summed to obtain the final assessment. Tests on the CSEE-FS power system show that the proposed method reduces the mean absolute percentage error from 9.33% to 0.23% and the root mean square error from 0.3957 s to 0.0114 s relative to the mechanism-only method. The average computation time is 0.16 s per operating condition, meeting the requirement for rapid online assessment. Full article
(This article belongs to the Special Issue Symmetries in Power Systems)
►▼ Show Figures

Figure 1

Back to TopTop