Abstract
To accurately detect and monitor the internal temperature of an operating power transformer, the distributed optical fiber sensor (DOFS) was creatively applied inside an oil-immersed 35 kV transformer through high integration with the winding wire. On the former basis, the power transformer prototype with a completely global internal temperature sensing capability was successfully developed and it was also qualified for power grid operation through the ex-factory type tests. The internal spatially continuous temperature distribution of the operating transformer was then revealed through a heat-run test and the numerical simulation was also applied for further analysis. Hotspots of windings were continuously located and monitored (emerging at about 89%/90% height of low/high voltage winding), which were furtherly compared with the IEC calculation results. This new nondestructive internal sensing method shows a broad application prospect in the electrical equipment field. Also, the revelation of transformer internal distributed temperature can offer a solid reference for both researchers and field operation staff.
Highlights
Transformer is the core equipment of power systems, and its safe operation is of great significance to the stability of the power supply
The failure of a large power transformer often leads to a blackout in an entire area, causing huge economic losses
The distributed optical fiber sensor (DOFS) detecting the heat generated fromadvantages windings continuing to accumulate, once oilstill lifting force was understand larger than method only has great in the temperature sensing andthe it is hard to fully its gravity
Summary
Transformer is the core equipment of power systems, and its safe operation is of great significance to the stability of the power supply. The failure of a large power transformer often leads to a blackout in an entire area, causing huge economic losses. As such real-time dynamic monitoring of the online transformer status has aroused wide interest [1,2,3]. The internal temperature of a transformer, especially the winding hotspot, has a direct influence on the insulation performance and its service life. Overheating during operation will decrease the life expectancy of the insulated materials and threaten the safety of the local grid, while running at a lower temperature means less load and the sacrifice of economic benefits [4]. It is necessary to obtain the real time temperature distribution inside the transformer
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