Abstract
The prediction and determination of thermal response for the metallic parts is a very crucial step in the design of power transformers. This paper presents a comparative analysis of different thermal models for predicting the hotspot temperature and top oil temperature of power transformers. Also, a new thermal model is proposed for the monitoring of transformer operation which is capable of identifying the hotspot temperature and the top oil temperature by taking into account the ambient temperature and the load variation with respect to real time. The model is experimentally validated and compared with the actual field data. It is found that results obtained from the proposed model and the actual field data are in good agreement.
Highlights
Estimation of a transformer’s health requires thermal monitoring of winding insulation by tracking the incipient activities
SIMULATION RESULTS Fig 10 below compares the measured and the predicted top oil temperature of phase c winding in the distribution transformer in the lab and field along with the proposed model
The simulated results of the proposed thermal model are in good agreement with the measured values, showing good accuracy in case of top oil temperature and hotspot temperature
Summary
Estimation of a transformer’s health requires thermal monitoring of winding insulation by tracking the incipient activities. As discussed earlier, occur in voids and defects inside the insulation and is accompanied by generation of frequency noise which results in deteriorating the insulation, so in order to better understand the phenomenon of PD inside the transformer winding insulation, the most cost effective approach is the computer based modelling and simulation. This approach is widely adopted by the industries for the condition assessment and estimation of life of the transformers [22]. COMPARATIVE ANALYSIS OF VARIOUS THERMAL MODELS A comparison of different thermal models with the proposed thermal model is carried out to extract the parameters that characterize the thermal model from on-line measurements to avoid shutdown of the transformers during operation as shown in table 2
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