Analysis and Research on Influence of Seam on Power Transformer's Capacity on Restraining DC Bias

2012 ◽  
Vol 229-231 ◽  
pp. 903-906
Author(s):  
De Zhi Chen ◽  
Bao Dong Bai ◽  
Bo Zhang ◽  
Wu Hao Jia ◽  
Bing Yin Qu
Keyword(s):  
Power System ◽  
Theoretical Basis ◽  
Single Phase ◽  
Power Transformer ◽  
Bias Current ◽  
Three Phase ◽  
Efficient Extraction ◽  
Dc Bias ◽  
Magnetic Resistance

Transformer is irreplaceable to make sure power system running stably. It's showed in research that magnetic resistance is relevant to capacity on restraining DC bias both in three-phase three-column transformer and three-phase five-column transformer. Magnetic resistance can be changed by changing the seam size of transformer. 3D field-circuit coupling models of single-phase four-column power transformer with two kinds of seam were created by FEA in this paper. Models were simulated with different DC bias current. The analysis result of influence of seam size on power transformer's capacity on restraining DC bias was obtained by DC bias current efficient extraction and comparison of models with different seam size, which is the theoretical basis of developing new transformer with more capacity on restraining DC bias.

Research on Vibration of Transformer with DC Bias

2012 ◽  
Vol 229-231 ◽  
pp. 859-862
Author(s):  
Bao Dong Bai ◽  
Bing Yin Qu ◽  
De Zhi Chen ◽  
Bo Zhang ◽  
Wu Hao Jia
Keyword(s):  
Magnetic Flux ◽  
Flux Density ◽  
Vibration Frequency ◽  
Single Phase ◽  
Power Transformer ◽  
Bias Current ◽  
Manufacturing Technology ◽  
Magnetic Flux Density ◽  
Dc Bias ◽  
Transformer Model

As the manufacturing technology of transformer getting more and more mature, issue of its vibration and noise is getting more and more attention. The vibration is more obviously when the transformer is running with DC Bias. 3D field-circuit coupling models of single-phase three-column power transformer was created by ANSYS. The simulating distributions of core magnetic flux density were obtained when the model was running with DC bias current of 0A, 0.9A and 2.6A. So were the modal shapes and curve of vibration-frequency of the transformer model. The theoretical guidance of reducing transformer vibration was obtained after analyzing the simulation result.

Harmonics Performances of Single Phase Transformer due to DC Bias

2015 ◽  
Vol 793 ◽  
pp. 202-205 ◽  
Author(s):  
Syafruddin Hasan ◽  
Muzammir Isa ◽  
M.A. Roslan ◽  
M. Hafizi ◽  
D. Musdar ◽  
...  
Keyword(s):  
Experimental Study ◽  
Single Phase ◽  
Power Transformer ◽  
Bias Current ◽  
Half Cycle ◽  
Bias Effect ◽  
Ac Power ◽  
Dc Bias ◽  
Magnetizing Current ◽  
Even Harmonics

The investigation of the direct current (dc) bias effect on single phase power transformer through their harmonics performance is present in this paper. The experimental study is done by the dc bias current injected simultaneously with alternating current (ac) source to primary winding of transformer. The input ac voltage to primary winding is maintained constant during investigation and the dc currents increased gradually. Compare to pure ac power applied, the results show that the waveforms distorted when the dc bias exist. The pulsated waveforms are pushed to half cycle in which the bias current is in the same direction as magnetizing current (unsymmetrical pulsated) and even harmonics are significant.

scholarly journals Analysis of a geomagnetic induced current on a three-phase power transformer and power system

2021 ◽  
Vol 1768 (1) ◽  
pp. 012008
Author(s):  
Anis Adiba Zawawi ◽  
Nur Fadilah Ab Aziz ◽  
Mohd Zainal Abidin Abd Kadir ◽  
Halimatun Hashim
Keyword(s):  
Power System ◽  
Power Transformer ◽  
Induced Current ◽  
Three Phase

scholarly journals Design of Neuro-Fuzzy Controller for Stabilization of Single Phase Stand-Alone PV Power System

2018 ◽  
Vol 7 (3) ◽  
pp. 176
Author(s):  
Hitendra Singh Thakur ◽  
Ram Narayan Patel
Keyword(s):  
Power System ◽  
Single Phase ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Phase System ◽  
Inference System ◽  
Current Harmonics ◽  
Synchronous Reference Frame ◽  
Neuro Fuzzy ◽  
Three Phase

For the three phase power electronic and drive applications, vector control or the synchronous reference frame (SRF) based control concept is well accepted and settled amongst the research communities. Although the SRF concept has gained popularity and appreciation in developing the three phase controllers, still the concept has not reached the same level in case of a single phase system. The work presented in this paper is mainly concerned to the design of a hybrid Artificial Neural Network and Fuzzy Logic based controller for a single phase stand-alone photo-voltaic (PV) power system. The adaptive neuro fuzzy inference system (ANFIS) controller proposed in this paper is chiefly meant for improving the transient and steady state responses; for minimizing the distorting effect of the low order load current harmonics encountered particularly in case of switching the drive based inductive loads and to help maintain the inverter output voltage constant under different loading circumstances. The result obtained through simulation work, shows the effectiveness of the proposed controller as compared with the previously established research works.

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