Constructing next‐generation power systems presents significant challenges and transformative requirements for grid operation and maintenance. Advanced monitoring and diagnostic technologies are increasingly vital to enhance grid transparency. As energy production and distribution become more decentralised, traditional maintenance methods no longer adequately address the security needs of the grid. Moreover, conventional condition monitoring approaches often target specific equipment and parameters, resulting in fragmented and isolated data sets. With the advent of digitised modelling, advanced sensing and multisource monitoring technologies, we can now scientifically simulate power system operations digitally, enabling accurate state assessments, predictive analytics and proactive early warnings for equipment conditions. This special issue highlights cutting‐edge research focused on intelligent operation and maintenance strategies for essential equipment in emerging power systems. We are pleased to introduce ten high‐quality articles selected for this issue.
Hu, J., Fan, X., Li, C., He, J., Mazzanti, G. (2025). Guest Editorial: Dielectric materials, sensing, monitoring, and diagnostic technologies for high-voltage equipment in new power systems. II Advanced sensor method and diagnosis technique. HIGH VOLTAGE, 10(4), 785-786 [10.1049/hve2.70081].
Guest Editorial: Dielectric materials, sensing, monitoring, and diagnostic technologies for high-voltage equipment in new power systems. II Advanced sensor method and diagnosis technique
Mazzanti G.
2025
Abstract
Constructing next‐generation power systems presents significant challenges and transformative requirements for grid operation and maintenance. Advanced monitoring and diagnostic technologies are increasingly vital to enhance grid transparency. As energy production and distribution become more decentralised, traditional maintenance methods no longer adequately address the security needs of the grid. Moreover, conventional condition monitoring approaches often target specific equipment and parameters, resulting in fragmented and isolated data sets. With the advent of digitised modelling, advanced sensing and multisource monitoring technologies, we can now scientifically simulate power system operations digitally, enabling accurate state assessments, predictive analytics and proactive early warnings for equipment conditions. This special issue highlights cutting‐edge research focused on intelligent operation and maintenance strategies for essential equipment in emerging power systems. We are pleased to introduce ten high‐quality articles selected for this issue.| File | Dimensione | Formato | |
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