Advanced Dielectric Materials, Sensing, Monitoring, and Diagnostic Technologies for High-Voltage Equipment in New Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 23 July 2025 | Viewed by 8
Special Issue Editors
Interests: fault diagnosis and condition monitoring of high-voltage power equipment
Special Issues, Collections and Topics in MDPI journals
Interests: dielectric insulation; insulation aging; intelligent optimization; state evaluation; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Building a new type of power system is the key to promoting the high-quality development of energy and electricity under the "dual carbon" goal. The requirements for the construction of a new type of power system will inevitably bring huge challenges and changes to the operation and maintenance of the power grid. To significantly improve the transparency level of the power grid, enhance the quality and efficiency of the energy supply chain, and ensure the safe operation of the new power system, it is increasingly important to research and develop advanced materials, as well as sensing, monitoring, and diagnostic technologies, and to achieve the digital and intelligent transformation of power system equipment.
We are therefore organizing a Special Issue on the topic of "Advanced Dielectric Materials, Sensing, Monitoring, and Diagnostic Technologies for High-Voltage Equipment in New Power Systems", and issue a call for submissions to experts and scholars in this field at home and abroad to jointly explore the cutting-edge progress, difficulties/challenges, and future development directions in this field. Experts and scholars in related fields are welcome to actively submit articles.
Dr. Jiefeng Liu
Guest Editor
Dr. Xianhao Fan
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- dielectric
- insulation
- measurement
- fault diagnosis
- state evaluation
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