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Sustainable Power System Security: Automation, Monitoring, and Intelligent Defense Technology

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 118

Special Issue Editors


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Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: disaster prevention and mitigation under severe icing and wind conditions for UHV transmission lines and high-speed railway

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Guest Editor
School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Interests: high-voltage and insulation technology; environmental adaptation and disaster prevention and mitigation; advanced smart materials
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Special Issue Information

Dear Colleagues,

Ensuring the security and resilience of modern energy and transportation infrastructure is critical for sustainable development, especially in the face of increasingly frequent extreme weather events. Both ultra-high voltage (UHV) transmission lines and high-speed railway systems are vulnerable to severe icing, strong winds, and other environmental hazards, posing significant risks to system reliability and public safety. Addressing these challenges requires interdisciplinary innovation in automation, intelligent monitoring, and resilient defense technologies.

This Special Issue, “Sustainable Power System Security: Automation, Monitoring, and Intelligent Defense Technology,” aims to provide a platform for original research articles and reviews that advance the sustainable security of both power systems and high-speed railways. We encourage submissions focused on disaster mechanisms, predictive modeling, intelligent monitoring, automation strategies, and defense solutions for these critical infrastructures under harsh conditions.

Suggested themes include (but are not limited to) the following:

  • Disaster mechanisms in UHV transmission lines and high-speed railway systems;
  • Automation and smart monitoring technologies;
  • Resilient defense strategies and system optimization;
  • AI and data-driven approaches for infrastructure security;
  • Case studies on sustainable operation under extreme events.

Original research articles and comprehensive reviews are both welcome.

We look forward to receiving your contributions.

Dr. Guizao Huang
Dr. Guolin Yang
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 security
  • high-speed railway
  • UHV transmission lines
  • extreme weather
  • icing and wind hazards
  • automation
  • intelligent monitoring
  • resilient defense
  • artificial intelligence
  • sustainable infrastructure

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Published Papers (1 paper)

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Research

24 pages, 4424 KB  
Article
A Hybrid Experimental and Computational Framework for Evaluating Wind Load Distribution and Wind-Induced Response of Multi-Span UHV Substation Gantries
by Feng Li, Yiting Wang, Lianghao Zou, Xiaohan Jiang, Xiaowang Pan, Hui Jin and Lei Fan
Sustainability 2025, 17(21), 9767; https://doi.org/10.3390/su17219767 (registering DOI) - 2 Nov 2025
Abstract
The structural safety of multi-span ultra-high-voltage (UHV) substation gantries is a cornerstone for the reliability and resilience of sustainable energy grids. The wind-resistant design of the structures is complicated by their complex modal behaviors and highly non-uniform wind load distributions. This study proposes [...] Read more.
The structural safety of multi-span ultra-high-voltage (UHV) substation gantries is a cornerstone for the reliability and resilience of sustainable energy grids. The wind-resistant design of the structures is complicated by their complex modal behaviors and highly non-uniform wind load distributions. This study proposes a novel hybrid framework that integrates segmented high frequency force balance (HFFB) testing with a multi-modal stochastic vibration analysis, enabling the precise assessment of wind load distribution and dynamic response. Five representative segment models are tested to quantify both mean and dynamic wind loads, a strategy rigorously validated against whole-model HFFB tests. Key findings reveal significant aerodynamic disparities among structural segments. The long-span beam, Segment 5, exhibits markedly higher and direction-dependent responses. Its mean base shear coefficient reaches 4.34 at β = 75°, which is more than twice the values of 1.74 to 2.27 for typical tower segments. Furthermore, its RMS wind force coefficient peaks at 0.65 at β = 60°, a value 2.5 to 4 times higher than those of the tower segments, all of which remained below 0.26. Furthermore, a computational model incorporating structural modes, spatial coherence, and cross-modal contributions is developed to predict wind-induced responses, validated through aeroelastic model tests. The proposed framework accurately resolves spatial wind load distribution and dynamic wind-induced response, providing a reliable and efficient tool for the wind-resistant design of multi-span UHV lattice gantries. Full article
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