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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: 4 September 2024 | Viewed by 1703

Special Issue Editor


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Guest Editor
School of Electrical Engineering, Chongqing University, Chonqing 400044, China
Interests: electromagnetic computing measurement and sensing; electrical equipment insulation fault monitoring and diagnosis

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

Published Papers (1 paper)

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Research

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 1 | Viewed by 1325
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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