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.

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.

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

The On-Line Monitoring of the Winding Deformation of Transformer Based on the Improved Ultrasonic Ranging Method

2014 ◽  
Vol 672-674 ◽  
pp. 1159-1162 ◽  
Author(s):  
Wei Jia Liu ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Yong Bo Lang ◽  
...  
Keyword(s):  
Transformer Oil ◽  
Practical Significance ◽  
Test Results ◽  
Signal Attenuation ◽  
Ultrasonic Ranging ◽  
Transformer Winding ◽  
On Line ◽  
Working Principle ◽  
Winding Deformation ◽  
The Impact

The assessment of the winding deformation of transformer has a certain practical significance. In this paper, an Improved Ultrasonic Ranging (IUR) method is proposed to assess the winding deformation of transformer. Firstly, the basic principle of winding deformation detection using ultrasonic and the working principle of detection device are discussed. Secondly, the impact of the factors such as transformer oil temperature and echo signal attenuation on the test results is analyzed. Then, a new IUR method is composed, which can realize the on-line monitoring of transformer winding deformation. Finally, an assessment equipment of transformer winding deformation based on the online monitoring is developed, and a prototype is used to test the transformer mode, proving that this method is feasible.

Research on the Vibration Condition On-Line Monitoring System for EHV Power Transformer

2015 ◽  
Vol 734 ◽  
pp. 675-679
Author(s):  
Wan Qing Li ◽  
Wei Wang ◽  
Le Ting Lin ◽  
Bei Min Xie ◽  
Ming Chao Xia ◽  
...  
Keyword(s):  
Data Analysis ◽  
Monitoring System ◽  
Power Transformer ◽  
Vibration Signal ◽  
Acceleration Signal ◽  
Transformer Winding ◽  
On Line ◽  
Characteristic Values ◽  
Harmonic Components ◽  
Extra High Voltage

The paper introduces a design scheme for the Extra High Voltage (EHV) transformer condition on-line monitoring system, which is based on the collection and analysis of the transformer winding and core vibration signals. This system is composed of vibration acceleration signal sensors and the signal analyzing computer where the collected vibration signal is saved and processed. The analyzing computer can accomplish the missions of data acquisition control, data analysis and the historical data query. Vibration characteristic values of transformer winding and core include peak to peak value, spectrum, kurtosis, and the amplitude 100Hz component and its higher harmonic components. They are extracted, and the characteristic trend curves are drawn by data analysis, so that EHV transformer on-line monitoring and fault diagnosis are accomplished.

Pre-diagnosis technology for short-circuit withstand capability of distribution transformer based on big data

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
He Dongsheng ◽  
Jia Zhidong ◽  
Lin Zhili ◽  
Luo Haiao ◽  
Miao Benjian ◽  
...  
Keyword(s):  
Big Data ◽  
Evaluation Model ◽  
Short Circuit ◽  
Linear Regression Analysis ◽  
Engineering Application ◽  
Distribution Transformer ◽  
Actual Case ◽  
Passing Rate ◽  
Distribution Transformers ◽  
Short Circuit Test

Abstract The short-circuit withstand capability test of distribution transformer has the characteristics of long test period, high cost, strong destructiveness, low qualification rate, and can not be verified by simulation or calculation. It has become the bottleneck restricting the engineering and industrialization development of transformer industry. Based on experimental big data, this paper uses the expert diagnosis method of fuzzy mathematics to establish a superior evaluation model. The typical design process of distribution transformers is scored by experts, and the short-circuit passing rate is calculated according to the real short-circuit test data. Linear regression analysis is used to establish the regression equation, and a pre-diagnosis technique for short-circuit withstand capability of distribution transformers is proposed. At the same time, the validity of the model is verified by the actual case, and the accurate pre-diagnosis of the resistance to short-circuit capability is realized. It breaks through the common key technologies of the transformer industry and provides an early warning for the quality control of power grid pro-ducts and the elimination of hidden danger products. It has important theoretical guiding significance and engineering application value.

Research on the Winding Deformation Testing System for Transformers Based on the FRA

2014 ◽  
Vol 986-987 ◽  
pp. 1583-1586
Author(s):  
Zhong Yuan Zhang ◽  
Yan Bo Wang ◽  
Lin Kang Zhang
Keyword(s):  
Monitoring System ◽  
Function Method ◽  
Short Circuit ◽  
Analysis Data ◽  
Testing System ◽  
Transfer Function Method ◽  
Data Query ◽  
On Line ◽  
Signal Injection ◽  
Short Circuit Currents

Short circuit currents or forces during transport can cause mechanical displacements of transformer windings. The transfer function method is presented as a tool to detect these displacements. In order to discover the hidden trouble of the transformer, in this paper, an on-line monitoring system based on FRA method is developed, the hardware performs the main functions: signal injection, filtering, amplifying, signal conditioning, and storing the result in computer. The software includes four modules: user login, data acquisition, data analysis, data query. Finally, the monitoring system is validated by a corresponding experimental study.

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