Research on Power Transformers, Power Cable, High Voltage and Insulation Technology

Dear Colleagues,

This Special Issue aims to present and disseminate the latest research developments in the field of diagnostics, condition monitoring, and aging assessment of electrical power equipment, with a particular focus on insulation systems and fault detection mechanisms. Ensuring the reliable operation of key assets such as transformers, HVDC cables, converters, circuit breakers, and other components in modern power grids requires advanced tools for real-time monitoring and early fault identification.

We welcome contributions addressing novel methods in condition assessment, electrical insulation diagnostics, and degradation modelling, as well as studies applying artificial intelligence and image and signal processing techniques to detect, localize, and classify faults. Research that explores new trends in DC diagnostics, especially for emerging HVDC systems, and simulation-based approaches to study insulation behavior under complex operating stresses, is also encouraged.

Topics of interest include, but are not limited to, the following:

• Condition monitoring and diagnostics of electrical power equipment;
• Aging and degradation assessment of electrical power equipment;
• Diagnostics and monitoring of electrical insulation;
• Emerging diagnostics methods;
• Simulation of power equipment;
• Methods in diagnostics of electrical insulation;
• Application of signal, image processing and artificial intelligence to diagnostics of electrical insulation;
• DC Diagnostics, i.e., methods for monitoring electrical insulation in HVDC grids, cables, transformers, converters, breakers, substations, lines, insulators, etc.

Prof. Dr. Xuetong Zhao
Guest Editor

Manuscript Submission Information

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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.