Journal
IEEE TRANSACTIONS ON POWER DELIVERY
Volume 36, Issue 5, Pages 3196-3203Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2020.3035842
Keywords
Windings; Oil insulation; Power transformer insulation; Resistance; Temperature; Oils; Temperature sensors; Average winding temperature (AWT); hot spot factor (HSF); hot spot temperature (HST); top oil temperature (TOT); monitoring; finite element method (FEM)
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This paper discusses the importance of transformer monitoring systems and researches two methods to determine transformer temperature. These methods have been experimentally verified and proven to be more accurate than traditional methods.
Transformers are the most expensive element of a power system, and so transformer monitoring systems are becoming more important as loads increase. Under heavy loading conditions, the hot-spot temperature of a transformer is the most critical parameter to determine the limit of loading. Therefore, to make an accurate estimation of hot-spot temperature and maintain the reliability of a power system, dynamic thermal models or methods must be employed. Due to the complexity of thermal phenomena, the methods presented so far needs to be improved to reduce computational errors. This is particularly the case for variable loading conditions and power utilities are still in need of good techniques. This paper describes two methods to determine temperature in single-phase, oil-immersed transformers. The first method calculates average windings temperature (AWT) using the voltage and current from primary and secondary windings. The second method, which uses data from the first method, determines the hot-spot temperature of the transformer. The methods have been investigated by experiments on a 30 kVA single-phase transformer and verified the results using COMSOL (TM) software. Our methods have proven more accurate than the IEEE Annex G method.
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