Transformer Tank Vibration Modeling as a Method of Detecting Winding Deformations—Part II: Experimental Verification

Abstract

In Part I of the paper, a tank vibration model was proposed as a method to detect the winding deformations in power transformers. This model is incorporated in a model-based monitoring system for power transformers. In this paper, the experimental verification of the proposed model that calculates vibration on the transformer tank is reported. The model was validated in a 1500-kVA experimental transformer constructed as a reduced scale model of a 60-MVA 220-kV unit. In order to load the test transformer, the opposition method described in IEC 60076-2 Standard was used allowing to vary the load and power factor over a wide range. Sensors to measure vibrations and temperature were installed in the test transformer. The model was validated under different test transformer operating conditions. In order to verify the model's ability to detect failures, a deformation was provoked in the test transformer winding. Model predictions were compared with the measured vibration in that situation. The model has also been applied to four (30-40 MVA) grid transformers. Some results of this field validation are presented in this paper.

Condition detection of transformer winding based on entropy weight correlation theory

“…The entropy weight coefficient of each measurement point calculated by the correlation degree of Table 3 and Table 4 is shown in Table 5. According to the equation (10), the calculation results of entropy weight correlation degree can be obtained as shown in table 6. In Table 6, the rate of change of the entropy weight is relative to the normal state of the transformer winding.…”

“…; In [5][6], the researchers have studied the a Corresponding author : 41037504@qq.com International Conference on Advanced Electronic Science and Technology (AEST 2016) development and application of the transformer vibration monitoring system, and got some meaningful results; In [7][8], the researchers have studied the method of detecting the state of the transformer winding based on the vibration signal, and got some meaningful results. Among them, in [9][10], the Spanish scholars put forward according to the transformer vibration model of the calculated results and the measured results are compared to the change of the threshold of the winding state detection. In [11], based on the load voltage and load current as the input variables of the transformer tank vibration model, to predict the transformer winding fault.…”

Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications

“…The weight of these power transformers can be up to a thousand of Kg, whereas their voltage and current levels are up to several hundreds of kVA [8,[17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The causes of degradation for high power transformers can be of an electrical nature, such as over-current and over-voltage conditions, or of a thermal nature, over-temperature condition, and of a mechanical nature.…”

Analysis And Prediction Of Fundamental Amplitude Of The Running Transformer

“…There exist high order harmonic components due to the influence of nonlinear factors in the winding structure [2,3].The vibration signal shown on the running transformers' surface is the combination of the two signals mentioned above. The fundamental component of 100 Hz in the vibration signal is mainly affected by the current and voltage.…”