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Risk and Reliability Analysis for Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (7 November 2024) | Viewed by 1361

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China
Interests: reliability and availability analysis; risk and resilience assessment of complex systems; cybersecurity; uncertainty analysis; cyber–physical systems

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Guest Editor
Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China
Interests: reliability and resilience modeling and optimization of both generic systems

Special Issue Information

Dear Colleagues,

Recent years have seen the fast development of power system design towards high efficiency, digitalization and intelligentization by means of interconnections via cyber-based technologies. This has resulted in cyber–physical power systems, and a shift in electricity production processes and services towards new modalities, enabling innovative opportunities of increased functionality, dynamic controllability, expanded capability and improved flexibility. Their high degree of inter- and intra-connectedness enhances the systems’ smartness but also poses concerns with regard to technical failures, and natural and man-made disasters, with possible cascading effects. Risk and reliability analysis for power systems faces new challenges, and the convergence of safety, security and resilience concerns should be properly addressed.

This Special Issue will mainly focus on the topics of risk and reliability analysis for power systems and its main challenges, including, but not limited to, the following:

  • Reliability modeling and optimization for power systems;
  • Coping with imprecision in reliability analysis;
  • Reliability and maintenance solutions in the operation of power systems (with the assistance of advanced methods);
  • Artificial intelligence for reliability and availability;
  • Hazard analysis, risk and resilience assessment for power systems and interdependent infrastructure systems;
  • Modeling and analysis of cascading failure propagation and mitigation;
  • Fault-tolerant and attack-resilient power system design;
  • Solutions for climate change and extreme weather event impacts on power system risk and resilience;
  • Modeling and analysis of risks in the power sector's low-carbon transition.

Dr. Wei Wang
Dr. Yao Cheng
Guest Editors

Manuscript Submission Information

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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 system
  • reliability
  • availability
  • hazard
  • risk
  • resilience
  • cascading failure

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Published Papers (2 papers)

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Research

25 pages, 3655 KiB  
Article
Accurate Reliability Evaluation Method and Weak Link Identification for Low-Voltage Distribution Networks That Considers User Demand Levels
by Hao Bai, Yongqian Yan, Wei Li, Jingzhe Wang, Tong Liu, Yipeng Liu, Hao Wang and Wei Huang
Energies 2025, 18(7), 1760; https://doi.org/10.3390/en18071760 - 1 Apr 2025
Viewed by 283
Abstract
The reliability of the power supply in low-voltage distribution networks plays a crucial role in efficient power system operation. Faced with the growing demand for electricity and the diverse usage patterns of users, existing management approaches struggle to meet the varying needs of [...] Read more.
The reliability of the power supply in low-voltage distribution networks plays a crucial role in efficient power system operation. Faced with the growing demand for electricity and the diverse usage patterns of users, existing management approaches struggle to meet the varying needs of different groups. This paper proposes a reliability assessment model that is based on user demands and integrates the Delphi method and gray relational analysis to provide an innovative approach for low-voltage distribution network tiered classification management. The study focuses on the distribution network of a certain area in China. In terms of reliability assessment methods, this study creatively introduces the equivalent series method to simplify the reliability evaluation, enabling a more efficient and intuitive reliability analysis. Through actual substation case studies, this research not only assesses low-voltage distribution network reliability but also identifies weak links within the system and the key factors affecting power supply reliability via a chain tracing method, providing a scientific basis for future management strategies. Full article
(This article belongs to the Special Issue Risk and Reliability Analysis for Power Systems)
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24 pages, 15930 KiB  
Article
Fragility Analysis of Power Transmission Tower Subjected to Wind–Sand Loads
by Xiaoqian Ma, Jun Lu, Benliang Li, Weiguang Tian, Yaxiao Zhang and Peng Zhang
Energies 2024, 17(24), 6339; https://doi.org/10.3390/en17246339 - 16 Dec 2024
Cited by 1 | Viewed by 657
Abstract
With the increasing construction of power transmission towers in desert regions for the transportation of wind or solar energy, structural safety under wind and sand loads has become critical. Current design codes primarily account for wind loads on these towers, overlooking the effects [...] Read more.
With the increasing construction of power transmission towers in desert regions for the transportation of wind or solar energy, structural safety under wind and sand loads has become critical. Current design codes primarily account for wind loads on these towers, overlooking the effects of sand impact. This study presents a new model to simulate sand–steel interactions and evaluates the fragility of transmission towers under both wind-only and combined wind–sand loads. The impact model is grounded in Hertz contact theory, with equations of motion derived for the interaction between wind-driven sand particles and structural members, solved via the central difference method. A parametric study investigates the effects of wind speed and sand particle mass: (1) impact forces and maximum deformations increase with wind speed, with impact duration initially decreasing up to 20 m/s and then gradually increasing; (2) an increase in sand particle mass leads to greater impact deformation, force, and duration. Fragility analysis, using incremental dynamic analysis, reveals that sand particles significantly amplify the tower’s response at high wind speeds and increase failure probability across all wind attack angles. These findings highlight the importance of incorporating sand-impact effects in the design and assessment of power transmission towers in desert environments to ensure structural safety and reliable operation of critical energy infrastructure. Full article
(This article belongs to the Special Issue Risk and Reliability Analysis for Power Systems)
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