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Energies
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Electrical Equipment State Measurement and Intelligent Calculation
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Electrical Equipment State Measurement and Intelligent Calculation

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 4106

Special Issue Editor

Prof. Dr. Jingang Wang

E-Mail Website
Guest Editor
School of Electrical Engineering, Chongqing University, Chonqing 400044, China
Interests: electromagnetic calculation; electrical equipment; measurement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building an energy internet situational awareness system with comprehensive coverage and precise feedback is an important development trend in which electrical equipment state measurement and intelligent calculation play an important role. With the increasing integration of clean energy into the grid, greater challenges are introduced to the condition monitoring of electrical equipment, and accurate measurement of electrical equipment parameters and rapid processing of measurement data through intelligent calculation methods are crucial. This also has broad application prospects in aerospace, ocean, industry, and other fields.

This Special Issue aims to present and disseminate the most recent advances related to the theory, design, modeling, measurement, application, and condition monitoring of all types of state measurement and intelligent calculation.

Prof. Dr. Jingang Wang
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 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

  • modelling
  • design
  • measurement
  • fault diagnosis
  • electrical equipment
  • engineering electromagnetic field application
  • electromagnetic calculation
  • condition monitoring
  • intelligent calculation
  • clean energy
  • power fluctuation
  • smoothing control
  • non-contact measurement
  • integrated energy
  • carbon trading

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Published Papers (3 papers)

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Research

21 pages, 6405 KiB  
Article
Diagnostics of Inter-Turn Short Circuit Fault in Dry-Type Air-Core Reactor Based on Lissajous Graph and Lightweight Network Model
by Binglong Xiang, Xiaojing Dang, Junlin Zhu, Lian Chen, Chao Tang and Zhongyong Zhao
Energies 2025, 18(5), 1132; https://doi.org/10.3390/en18051132 - 25 Feb 2025
Viewed by 385
Abstract
Dry-type air-core reactors (DARs) often have inter-turn short circuit (ITSC) faults. However, traditional fault detection methods for DARs generally demonstrate poor timeliness and low sensitivity, and few methods combine intelligent algorithms for objective and accurate diagnosis. Therefore, a novel online diagnosis method for [...] Read more.
Dry-type air-core reactors (DARs) often have inter-turn short circuit (ITSC) faults. However, traditional fault detection methods for DARs generally demonstrate poor timeliness and low sensitivity, and few methods combine intelligent algorithms for objective and accurate diagnosis. Therefore, a novel online diagnosis method for ITSC faults was proposed. First, the “field-circuit” coupling 2D model of reactors was established to simulate the impact of ITSC faults on the characteristics of various state parameters; accordingly, the Lissajous graph was introduced to characterize the short circuit fault. Then, the variation law of the Lissajous graph under different inter-turn fault layers, turns, and degrees was explored to verify the feasibilities of the proposed method. Finally, to achieve rapid diagnosis and fulfill the requirements of edge computing, a lightweight network model named MobileNetV3-Small was used and combined as a classifier to achieve accurate diagnosis of ITSC faults. The results robustly validate that the Lissajous graphical method can significantly reflect ITSC faults through observing the variation in the graph and feature parameters. Furthermore, the MobileNetV3-Small model achieves a diagnostic accuracy of up to 95.91%, which can further enhance the diagnostic accuracy of the ITSC fault degree. Full article
(This article belongs to the Special Issue Electrical Equipment State Measurement and Intelligent Calculation)
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16 pages, 3988 KiB  
Article
Study on the Broadband Measurement Method of Electric Field Sensing Voltage Based on the Add-Window Technique
by Minrui Xu, Zhixin Li, Shufeng Lu, Gang Chen, Xiangjun Quan and Xiaoliang Mo
Energies 2024, 17(24), 6289; https://doi.org/10.3390/en17246289 - 13 Dec 2024
Viewed by 592
Abstract
With the popularization of power electronic equipment, the problem of harmonic pollution has become more and more prominent, posing a serious threat to the safe operation of power systems. In order to improve the stability and efficiency of the power system, the broadband [...] Read more.
With the popularization of power electronic equipment, the problem of harmonic pollution has become more and more prominent, posing a serious threat to the safe operation of power systems. In order to improve the stability and efficiency of the power system, the broadband measurement of harmonics has become a key direction of research. In this paper, a novel broadband harmonic measurement method is proposed, which combines the electric field sensing technique and the TCW add-window discrete Fourier transform technique. The amplification gain coefficient deviation of the measurement system is less than 3 dB in both steady-state and transient excitation signal test experiments. The measurement system can maintain a stable and continuous output in a wide frequency band within the range of MHz, which can effectively detect the harmonic components and provide an effective technical means for the monitoring of harmonics in the power system. Full article
(This article belongs to the Special Issue Electrical Equipment State Measurement and Intelligent Calculation)
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24 pages, 3251 KiB  
Article
Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory
by Xiaowei Fan, Yongtao Chen, Ruimiao Wang, Jiaxin Luo, Jingang Wang and Decheng Cao
Energies 2023, 16(8), 3314; https://doi.org/10.3390/en16083314 - 7 Apr 2023
Cited by 3 | Viewed by 2137
Abstract
To address the problems of “difficult to consume” renewable energy and the randomness of power output, we propose the CHP unit joint-operation model with power to gas (P2G) and carbon capture system (CCS) technologies and analyze the operation cost, carbon emission, and “electric-heat [...] Read more.
To address the problems of “difficult to consume” renewable energy and the randomness of power output, we propose the CHP unit joint-operation model with power to gas (P2G) and carbon capture system (CCS) technologies and analyze the operation cost, carbon emission, and “electric-heat coupling” characteristics of this model. A dispatch optimization model is constructed based on the information-gap decision theory under the strategy to further consider the interval uncertainty of renewable energy unit output and load forecast. The optimized-dispatching model effectively solves the fate of renewable unit output and electric-thermal load and provides dispatching strategies for decision-makers to balance risk and capital management. Full article
(This article belongs to the Special Issue Electrical Equipment State Measurement and Intelligent Calculation)
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