scholarly journals A transformer winding deformation detection method based on the analysis of leakage inductance changes

2015 ◽  
Vol 64 (2) ◽  
pp. 333-346
Author(s):  
Li Jiansheng ◽  
Tao Fengbo ◽  
Wei Chao ◽  
Lu Yuncai ◽  
Wu Peng ◽  
...  
Keyword(s):  
Measurement Errors ◽  
Detection Method ◽  
Time Window ◽  
Short Circuit ◽  
Normal Function ◽  
Random Fluctuation ◽  
Least Squares Regression ◽  
Leakage Inductance ◽  
Transformer Winding ◽  
Winding Deformation

Abstract The detection of transformer winding deformation caused by short-circuit current is of great significance to the realization of condition based maintenance. Considering the influence of environment and measurement errors, an online deformation detection method is proposed based on the analysis of leakage inductance changes. First, the operation expressions are derived on the basis of the equivalent circuit and the leakage inductance parameters are identified by the partial least squares regression algorithm. Second, the amount of the leakage inductance samples in a detection time window is determined using the Monte Carlo simulation thought, and then the samples in the confidence interval are obtained. Last, a criteria is built by the mean value changes of the leakage inductance samples and the winding deformation is detected. The online detection method considers the random fluctuation characteristics of the leakage inductance samples, adjust the threshold value automatically, and can quantify the change range to assess the severity. Based on the field data, the distribution of the leakage inductance samples is analyzed to obey the normal function approximately. Three deformation experiments are done by different sub-winding connections and the detection results verify the effectiveness of the proposed method

Research Situation Analysis of On-line Detection Technology for Power Transformer Winding Deformation

2020 ◽  
Vol 13 (6) ◽  
pp. 823-832
Author(s):  
Zhenhua Li ◽  
Weihui Jiang ◽  
Li Qiu ◽  
Zhenxing Li ◽  
Yanchun Xu
Keyword(s):  
Detection Method ◽  
Theoretical Research ◽  
Line Detection ◽  
Response Analysis ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
The Future ◽  
Transformer Winding ◽  
On Line ◽  
Winding Deformation

Background: Winding deformation is one of the most common faults in power transformers, which seriously threatens the safe operation of transformers. In order to discover the hidden trouble of transformer in time, it is of great significance to actively carry out the research of transformer winding deformation detection technology. Methods: In this paper, several methods of winding deformation detection with on-line detection prospects are summarized. The principles and characteristics of each method are analyzed, and the advantages and disadvantages of each method as well as the future research directions are expounded. Finally, aiming at the existing problems, the development direction of detection method for winding deformation in the future is prospected. Results: The on-line frequency response analysis method is still immature, and the vibration detection method is still in the theoretical research stage. Conclusion: The ΔV − I1 locus method provides a new direction for on-line detection of transformer winding deformation faults, which has certain application prospects and practical engineering value.

Research on the On-Line Monitoring System for Winding Deformation of Distribution Transformers Based on FRA

2013 ◽  
Vol 446-447 ◽  
pp. 827-831
Author(s):  
Zhong Yuan Zhang ◽  
Tao Chen ◽  
Yan Bo Wang
Keyword(s):  
Monitoring System ◽  
Short Circuit ◽  
Capacitive Sensor ◽  
Injection System ◽  
Distribution Transformer ◽  
Distribution Transformers ◽  
Transformer Winding ◽  
Source Signal ◽  
On Line ◽  
Winding Deformation

Distribution transformer constitutes a significant asset for any distribution power system. Short circuit currents or forces can cause mechanical faults in transformer winding. In order to discover the hidden trouble of the transformer, in this paper, on-line monitoring system based on FRA method is developed, and signal source, signal injection, system software are introduced. Furthermore, a nanosecond impulse signal generator is used to inject impulse signals through a noninvasive capacitive sensor, to realize on-line monitoring for winding deformation of distribution transformer. Finally, the monitoring system is validated by a corresponding experimental study.

scholarly journals Research on On-Line Detection Method of Transformer Winding Deformation Based on VFTO

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7386
Author(s):  
Yanyun Wang ◽  
Guoqiong Zhou ◽  
Chunping Zeng ◽  
Wenbin Zhang ◽  
Yanan Ren ◽  
...  
Keyword(s):  
Frequency Response ◽  
Response Curve ◽  
Detection Method ◽  
Circuit Model ◽  
Simulation Software ◽  
Generation Process ◽  
Frequency Response Curve ◽  
Online Detection ◽  
Transformer Winding ◽  
Winding Deformation

At present, the detection of transformer winding deformation faults is carried out in an offline state, which requires the transformer to cooperate with the implementation of planned power outages, or it takes place after the sudden failure of the transformer when it is out of operation. It is difficult to obtain the status information of the windings online in time. Since the transformer will suffer very fast transient overvoltage (VFTO) impact during operation, combined with the principle of the frequency response method, an online detection method of transformer winding deformation based on VFTO is proposed. In order to study the frequency response characteristics of transformer winding under the impact of VFTO, the generation process of VFTO is simulated by simulation software, and the equivalent circuit model of transformer winding before and after deformation is established. The VFTO signal is injected into the transformer circuit model as an excitation source, and the changes of resonant frequencies of frequency response curve under different deformation types and different deformation degrees of winding are analyzed. The simulation results show that the frequency response curves of different winding deformation types are different. Different deformation degrees are simulated by increasing the radial capacitance by 4%, 13%, and 23%, series inductance by 2%, 4%, and 6%, and longitudinal capacitance by 3%, 6%, and 9%, and the change of resonance frequencies can comprehensively reflect the deformation information of winding. At the same time, the tests of different deformation types and deformation degrees of the simulated winding are carried out. The results show that with the deepening of the change degree of the simulated fault inductance value, the frequency response curve shifts to the low-frequency direction, confirming the feasibility of the online detection method of transformer winding deformation based on VFTO.

Research of Current Source Frequency Response Method for Monitoring Transformer Winding Deformation

2013 ◽  
Vol 380-384 ◽  
pp. 3039-3042
Author(s):  
Guo Qiang Wang ◽  
Yong Li Zhu ◽  
Li Peng Liu
Keyword(s):  
Power System ◽  
Frequency Response ◽  
Short Circuit ◽  
Current Source ◽  
System Capacity ◽  
Voltage Source ◽  
Necessary Condition ◽  
Response Analysis ◽  
Transformer Winding ◽  
Winding Deformation

The frequency response analysis (FRA) is a effective diagnostic method in monitoring the deformation of transformer winding. This paper uses the current sweep-sequency source as the excitation to replace the voltage source in the traditional method.And the frequency response curves can be drawn from the current signal rather than the voltage signal.It can be judged whether there is deformation in the transform winding by comparing the frequency response curves.The method can realize the on-line monitoring and diagnosis for the transformers whose neutral points is grounded directly. The Research Background The safety of transform is the necessary condition for power system operation. As the increasing of power system capacity,the short-circuit current will be bigger than before.Therefore, transformer will take more risk of winding deformation.

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