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Electronics
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Advanced Online Monitoring and Fault Diagnosis of Power Equipment
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Advanced Online Monitoring and Fault Diagnosis of Power Equipment

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2148

Special Issue Editors

Dr. Yikai Wang

E-Mail Website
Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071000, China
Interests: power system protection and control; new power system security risk prevention
Special Issues, Collections and Topics in MDPI journals
Dr. Jiayi Guo

E-Mail Website
Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071000, China
Interests: vibration and noise analysis of power equipment
Dr. Chenhui Song

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: multi-energy system modeling and security analysis; distribution network security analysis, planning, and operation; new energy development planning
Special Issues, Collections and Topics in MDPI journals
Dr. Junjie Hou

E-Mail Website
Guest Editor
School of Electrical Engineering, Xinjiang University, Urumqi 830000, China
Interests: power system protection and control

Special Issue Information

Dear Colleagues,

Power equipment is the fundamental component of the power system. Its reliability and stability can guarantee the safe and efficient operation of the system. With the development of the power system, the voltage level continues to rise. High-frequency and high-intensity voltage shocks affect the operational reliability of the power equipment. Moreover, the proportion of new energy sources connected to the grid has significantly increased. Since they are connected to the grid through electronic power equipment, the complexity of harmonic components in the power system is exacerbated. Thus, problems with insulation aging and equipment overheating are accelerating, and the lifespan of equipment is shortening. The above issues pose serious challenges to the safety of power equipment. However, traditional equipment monitoring and fault diagnosis methods are difficult to use in order to cope with unexpected situations and have high operational risks and maintenance costs, low diagnostic accuracy, and a lack of generalizability for equipment with different parameters. Therefore, there is an urgent need for advanced online monitoring and fault diagnosis methods for power equipment to achieve real-time comprehensive status monitoring and accurate fault diagnosis.

Dr. Yikai Wang
Dr. Jiayi Guo
Dr. Chenhui Song
Dr. Junjie Hou
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. Electronics 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 equipment protection
  • online monitoring
  • application of artificial intelligence in fault diagnosis
  • mechanical faults
  • partial discharge
  • insulation deterioration
  • fiber optic sensing
  • on-load tap changer
  • multi-parameter fusion

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Published Papers (3 papers)

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Research

24 pages, 8579 KiB  
Article
Research on Directional Elements of Two-Terminal Weak-Feed AC Systems with a Negative Sequence Control Strategy
by Yan Li, Wentao Yang, Xiaofang Wu, Runbin Cao, Weihuang Huang, Faxi Peng and Junjie Hou
Electronics 2024, 13(23), 4647; https://doi.org/10.3390/electronics13234647 - 25 Nov 2024
Viewed by 429
Abstract
It has become a typical scenario in power systems that renewable energy power supply is connected to an AC system through flexible DC transmission. However, since both sides of the AC line are power electronic converters, the negative sequence suppression strategy will be [...] Read more.
It has become a typical scenario in power systems that renewable energy power supply is connected to an AC system through flexible DC transmission. However, since both sides of the AC line are power electronic converters, the negative sequence suppression strategy will be put into the converters at both ends during the asymmetric fault, which causes fundamental changes in the fault characteristics of the system, which is reflected in the two-terminal weak-feed characteristics, leading to the decline of traditional protection performance and affecting the safe operation of the system. Therefore, this paper presents a directional element of a double-ended weakly fed AC system with a negative sequence control strategy. Firstly, the characteristics of the negative sequence impedance under the negative sequence suppression strategy are analyzed when the AC line has asymmetric faults. Secondly, the difference in negative sequence impedance amplitude is analyzed. Finally, the direction element is constructed by the method of de-wave trend analysis The proposed scheme can realize the rapid identification of fault directions at both ends. The simulation results show that the proposed scheme is suitable for a two-terminal weak-feed AC system and can operate reliably under 300 Ω transition resistance and 20 dB noise interference. Full article
(This article belongs to the Special Issue Advanced Online Monitoring and Fault Diagnosis of Power Equipment)
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15 pages, 2439 KiB  
Article
Research on the Technology of Improving the Compatibility of DC Measurement Devices Based on the Operation Experience of Siemens Hardware Solutions
by Hao Li, Zicong Zhang, Binghou Ding, Yaoxing Bai, Yong Zheng, Chao Liu and Xincui Tian
Electronics 2024, 13(21), 4194; https://doi.org/10.3390/electronics13214194 - 25 Oct 2024
Viewed by 583
Abstract
The aim of this study was to manufacture alternative Siemens DC measurement system equipment to solve the problems of increased failure rates of foreign DC measurement equipment and the stopped production of key parts. In this paper, the overall structure and common faults [...] Read more.
The aim of this study was to manufacture alternative Siemens DC measurement system equipment to solve the problems of increased failure rates of foreign DC measurement equipment and the stopped production of key parts. In this paper, the overall structure and common faults of the Siemens DC measurement system are introduced, the difference between TDM signal frame structure and FT3 frame structure is detailed, and the related functional structure, chip type, and function of the Siemens distal module and merging unit (including laser function) are studied. The remote module, merging unit (including laser function), and related hardware design and software design to replace the Siemens DC measurement system were developed, and the test environment and control protection, fault recording wave for communication, and other functional tests were built. The test results show that the domestic remote module, merging unit (laser function), and other technologies communicate normally with the existing Siemens and the domestic mainstream manufacturers, and the accuracy meets the requirements of the 0.2 level. Full article
(This article belongs to the Special Issue Advanced Online Monitoring and Fault Diagnosis of Power Equipment)
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21 pages, 5459 KiB  
Article
Fault Localization in Multi-Terminal DC Distribution Networks Based on PSO Algorithm
by Mingyuan Wang and Yan Xu
Electronics 2024, 13(17), 3420; https://doi.org/10.3390/electronics13173420 - 28 Aug 2024
Viewed by 627
Abstract
Flexible DC power grids are widely recognized as an important component of building smart grids. Compared with traditional AC power grids, flexible DC power grids have strong technical advantages in islanding power supplies, distributed power supplies, regional power supplies, and AC system interconnection. [...] Read more.
Flexible DC power grids are widely recognized as an important component of building smart grids. Compared with traditional AC power grids, flexible DC power grids have strong technical advantages in islanding power supplies, distributed power supplies, regional power supplies, and AC system interconnection. In multi-terminal flexible DC power grids containing renewable energy sources such as solar and wind power, due to the instability and intermittency of renewable energy, it is usually necessary to add energy storage units to pre-regulate the power of the multi-terminal flexible DC power grid in islanded operation. Aiming at the important problem of large current impact and serious consequences when the flexible DC distribution network fails, a combined location method combining an improved impedance method (series current-limiting reactors at both ends of the line to obtain a more accurate current differential value) and a particle swarm optimization algorithm is proposed. Initially, by establishing the enhanced impedance model, the differential variables under the conditions of inter-electrode short-circuit and single-pole grounding fault can be obtained. Then tailor-made fitness functions are designed for these two models to optimize parameter identification. Subsequently, the iterative parameters of the particle swarm optimization algorithm are fine-tuned, giving it dynamic sociality and self-learning ability in the iterative process, which significantly improves the convergence speed and successfully avoids local optimization. Finally, various fault types in a six-terminal DC distribution network are simulated and analyzed by MATLAB, and the results show that this method has good accuracy and robustness. This research provides strong theoretical and methodological support for improving the safety and reliability of DC distribution systems. Full article
(This article belongs to the Special Issue Advanced Online Monitoring and Fault Diagnosis of Power Equipment)
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