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Energies
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Advanced Reliability Modelling and Operation Management Strategies for Power Systems
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Advanced Reliability Modelling and Operation Management Strategies for Power Systems

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1310

Special Issue Editors

Dr. Qingan Qiu

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Guest Editor
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Interests: reliability modelling; stochastic operations research; power system reliability
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kaiye Gao

E-Mail Website
Guest Editor
School of Economics and Management, Beijing Forestry University, Beijing 100087, China
Interests: power system reliability; risk analysis and optimization; maintenance; quality and health management
Special Issues, Collections and Topics in MDPI journals
Dr. Li Yang

E-Mail Website
Guest Editor
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Interests: intelligent maintenance; decision optimization; power system reliability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The reliability and performance of power systems are critical factors in ensuring energy security and sustainability. As power systems become increasingly complex and interconnected, the need for advanced reliability modelling and maintenance optimization becomes paramount. The objective of this Special Issue is to introduce innovative approaches to enhance the reliability and efficiency of power systems, with a particular focus on modelling techniques and maintenance strategies. By delving into the intricacies of power system reliability and exploring cutting-edge modelling and optimization methods, this Special Issue seeks to make substantial contributions to the field. The Special Issue welcomes contributions that explore advanced reliability and maintenance modelling, condition monitoring, optimization strategies, and other topics. We invite original research papers, review articles, case studies, and technical notes that contribute to the field of maintenance and reliability of power systems. Submissions should demonstrate scientific rigour, practical relevance, and novel insights. All manuscripts will undergo a rigorous peer-review process to ensure that they make high-quality and impactful contributions to this field.

Dr. Qingan Qiu
Prof. Dr. Kaiye Gao
Dr. Li 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. 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
  • maintenance modelling
  • condition monitoring

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Published Papers (1 paper)

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Research

19 pages, 9408 KiB  
Article
Generating Payloads of Power Monitoring Systems Compliant with Power Network Protocols Using Generative Adversarial Networks
by Hao Zhang, Ye Liang, Jun Zhang, Jing Wang, Hao Zhang, Tong Xu and Qianshi Wang
Energies 2024, 17(20), 5068; https://doi.org/10.3390/en17205068 - 11 Oct 2024
Viewed by 713
Abstract
In the network environment of power systems, payload generation is used to construct data packets, which are used to obtain data for the security management of network assets. Payloads generated by existing methods cannot satisfy the specifications of the protocols in power systems, [...] Read more.
In the network environment of power systems, payload generation is used to construct data packets, which are used to obtain data for the security management of network assets. Payloads generated by existing methods cannot satisfy the specifications of the protocols in power systems, resulting in low efficiency and information errors. In this paper, a payload generation model, LoadGAN, is proposed by using generative adversarial networks (GANs). Firstly, we find segmentation points to cut payloads into different segment sequences using sliding window schema based on Bayesian optimization. Then, we use different payload segments to train several child generators to generate corresponding parts of a whole payload. Segment sequences generated by these generators are assembled to form a whole new payload that is compliant with the specifications of the original network protocol. Experiments on the Mozi botnet dataset show that LoadGAN achieves precise payload segmentation while maintaining a high payload effectiveness of 85.5%, which is a 40% improvement compared to existing methods. Full article
(This article belongs to the Special Issue Advanced Reliability Modelling and Operation Management Strategies for Power Systems)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: On the use of high-frequency earth testers for qualifying the conditions of tower-tooting grounding electrodes of transmission
Authors: Renan Segantini; Rafael Alipio; José Osvaldo; Saldanha Paulino
Affiliation: École Polytechnique Fédérale de Lausanne (EPFL)

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