Citation
Murthy, Avinash Srikanta
(2020)
Frequency responses of transformer winding deformations based on finite element modeling under transient overvoltage impulses.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Frequency Response Analysis (FRA) is one of the best approaches to detect the
mechanical integrity of transformer windings. FRA can be measured on-site or
simulated based on the transformer’s design information. The calculations of
Resistance (R), Inductance (L), Capacitance (C) and Conductance (G) parameters
are essential to simulate the frequency responses based on transfer function and
Multi-conductor Transmission Line (MTL) methods. These methods however
could not provide detail conditions of the individual windings as well as the
cause and effect of mechanical movements. The known causes such as the
lightning strikes or switching events could lead to the amplification/attenuation
of the overvoltages along the windings and subsequently result in abnormal
voltage stresses. The electromagnetic fields could be generated and result in
electromechanical effects which need to be classified. Hence, this project is
carried out to address the stated issues. First, an alternative approach to extract
transformer’s winding RLCG parameters based on Finite Element Method
(FEM) was proposed. The C and G were computed based on Fast Multipole
Method (FMM) and Method of Moment (MoM) through quasi-electrostatics
approach. The AC resistances and inductances were computed based on MoM
through quasi-magnetostatics approach. Maxwell's equations were used to
compute the DC resistances and inductances. Based on the FEM computed
parameters, the frequency response of the winding was simulated through the
Bode plot function. The simulated frequency response by FEM model was
compared with the simulated frequency response based on the MTL model and the measured frequency response of HV winding for 33/11 kV transformer.
Next, the resonant oscillations of HV layer and disc types windings for 11/0.415
kV and 33/11 kV transformers under different cases of lightning and switching
impulses were analyzed. The impulse overvoltage were applied to the HV
winding and the resonant oscillations were simulated for each of the layers and
discs with consideration on different placement configurations of an
electrostatic shield. The effects of different magnitudes of standard lightning
impulse on the mechanical displacements and deformations of HV windings of
an 11/0.415 kV transformer were also examined based on FEM. The resultant
electromagnetic forces acting in axial and radial directions were computed and
induced to the winding structure. It is found that the simulated frequency
response by FEM model is quite close to measured frequency response at low
and mid frequency regions based on Root Mean Square Error (RMSE) and
Absolute Sum of Logarithmic Error (ASLE). The voltage stresses along the
windings are more linear and the resonant oscillations are the lowest once a
floating shield is placed between the HV and LV windings of the 11/0.415 kV
and 33/11 kV transformers under different cases of lightning and switching
impulses based on error of the slope (SEb). It is observed that the outer column
supports of the winding structure for 11/0.415 kV transformer experiences
apparent electromechanical stresses and radial buckling deformations are
observed. The life and lightning overvoltage impulse withstand capability of the
winding is estimated to be 1 × 106 impulse cycles which is lower than the design
life of 1 × 109 for the copper conductors based on fatigue life and Von-Mises
criterion.
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Additional Metadata
Item Type: |
Thesis
(Doctoral)
|
Subject: |
Electric transformers |
Subject: |
Frequency response (Electrical engineering) |
Subject: |
Finite element method |
Call Number: |
FK 2021 25 |
Chairman Supervisor: |
Associate Professor Norhafiz bin Azis, PhD |
Divisions: |
Faculty of Engineering |
Depositing User: |
Editor
|
Date Deposited: |
13 Jul 2022 04:53 |
Last Modified: |
13 Jul 2022 04:53 |
URI: |
http://psasir.upm.edu.my/id/eprint/98046 |
Statistic Details: |
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