Transformer Winding Deformation Detection Based on BOTDR and ROTDR

Gao, Shuguo; Liu, Yunpeng; Li, Huan; Sun, Lu; Liu, Hongliang; Rao, Qun; Fan, Xiaozhou

doi:10.3390/s20072062

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…It can also be seen from the results of the study that the temperature field of the transformer winding is inhomogeneous and changes with increasing distance from the middle of the winding. The results obtained agree with the known experimental results [7,[12][13][14][15]. It can be seen that they have the same character of change, which indicates the adequacy of the calculation model.…”

Section: Discussion Of Research Resultssupporting

confidence: 86%

Determination of temperature distribution on windings of oil transformer based on the laws of heat transfer

Grabko

Tkachenko

Palaniuk

2021

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Object of research: development of a technology for determining the temperature of the winding of a power oil transformer, in particular, the analysis of thermal processes in the winding of a power transformer during short-term overloads, taking into account the influence of the environment. Investigated problem: temperature distribution in the winding of a power oil transformer taking into account short-term load surges in the problem of assessing the residual life of the insulation of the transformer winding by temperature aging. The calculation of the temperature distribution in the winding was carried out using the passport data and characteristics of the power oil transformer, including the winding, transformer oil, load currents. Main scientific results: a mathematical model was calculated, with the help of which the results of temperature distribution in the transformer winding were obtained during short-term load surges or constant work with an increased load. According to the presented model, the analysis of the cooling time of the transformer winding after short-term overloads is carried out. Comparing the results obtained on the simulation model with the known results of experimental studies of the temperature distribution in the winding of a power transformer, the adequacy of the mathematical model is proved. It is shown that the use of the laws of heat transfer in a homogeneous plate to analyze the temperature distribution in the transformer winding is not wrong, but requires clarifications and simplifications. The area of practical use of the research results: enterprises of the machine-building industry and energy companies specializing in the production and operation of transformer equipment. Innovative technological product: simulation model of heat distribution in a transformer winding, which can take into account the load of the transformer, the effect of the environment on the insulation of the transformer windings. An innovative technological product: a method for diagnosing the duration of the non-failure operation of a transformer, which makes it possible to ensure trouble-free operation and save money for the repair of transformer equipment. Scope of application of the innovative technological product: design and development of diagnostic systems for windings of power oil transformers

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Section: Discussion Of Research Resultssupporting

confidence: 86%

Determination of temperature distribution on windings of oil transformer based on the laws of heat transfer

Grabko

Tkachenko

Palaniuk

2021

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“…The use of FBG sensors for structural monitoring of windings has potential but the research is still underdeveloped. In addition, other fibre optic technologies can work for this application such as distributed strain sensors using Brillouin scattering which have been proposed and lab tested using a power transformer [96,97].…”

Section: Winding Deformationmentioning

confidence: 99%

Fibre Bragg Grating Sensors for Condition Monitoring of High-Voltage Assets: A Review

Ramnarine,

Peesapati,

Djurović

2023

Energies

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The high-voltage (HV) assets in the existing power transmission network will experience increased electrical, thermal, environmental and mechanical stresses and, therefore, robust condition monitoring is critical for power system reliability planning. Fibre Bragg grating (FBG) sensors offer a promising technology in HV applications due to their immunity to electromagnetic interference and multiplexing capability. This paper reviews the current technology readiness levels of FBG sensors for condition monitoring of transformers, transmission lines, towers, overhead insulators and power cables, with the aim of stimulating further development and deployment of fibre-based HV asset management systems. Currently, there are several reported cases of FBG sensors used for condition monitoring of HV assets in the field, proving their feasibility for long-term use in the power grid. The review shows that FBG technology is versatile and can facilitate multi-parameter measurements, which will standardise the demodulation equipment and reduce challenges with integrating different sensing technologies.

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“…The power system is generally operated symmetrically in three phases in which the transformer, as a key piece of equipment in the power system along with its operation performance, is the key to the stable and symmetrical operation of the power system, so it therefore needs accurate fault diagnosis. Due to the surge in demand for electrical energy in social life, the capacity of the power system is expanding, and the level of short-circuit current in the whole system is rising, thus making the operating environment of power equipment, such as transformers, more complex [3]. According to the statistics of each power grid, it is known that among the types of transformer faults, winding faults account for 30% of the total transformer faults [4].…”

Section: Introductionmentioning

confidence: 99%

A Method of Winding Fault Classification in Transformer Based on Moving Window Calculation and Support Vector Machine

Fu¹,

Tong²,

Yuan³

et al. 2022

Symmetry

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Winding fault is one of the most common types of transformer faults. The frequency response method is a common diagnosis method for winding fault detection. In order to improve the feature extraction ability of the frequency response curve before and after the winding fault, this paper proposes a winding fault feature extraction method based on the moving window algorithm to improve the Euclidean distance and correlation coefficient and uses a support vector machine to diagnose winding fault. “Moving window meter algorithm” refers to the fixed moving window width and window moving interval, scanning the entire frequency response curve from the initial point to the end point of the frequency response curve, using the correlation coefficient (CC) and Euclidean distance (ED) to calculate the mathematical index of each window. The mathematical index of each window is used as the characteristic quantity of fault type classification. Finally, the grid search algorithm is used to optimize the support vector machine to classify and identify the type of winding fault. At the same time, the standard support vector machine s(SVM) and back propagation neural network algorithm (BPNN) are compared with the support vector machine optimized by the grid search method to diagnose the fault type. The research shows that the improved correlation coefficient and Euclidean distance using the moving window algorithm are more sensitive to winding faults than the traditional calculation methods. The combination of the two calculation methods makes up for the shortcomings of their respective methods. The fault features obtained meet the requirements of the support vector machine for fault diagnosis, and the grid search method-optimized support vector machine classification algorithm has a good classification and recognition effect on the identification of fault types. The effectiveness and superiority of this method are further illustrated.

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Transformer Winding Deformation Detection Based on BOTDR and ROTDR

Cited by 7 publications

References 11 publications

Determination of temperature distribution on windings of oil transformer based on the laws of heat transfer

Determination of temperature distribution on windings of oil transformer based on the laws of heat transfer

Fibre Bragg Grating Sensors for Condition Monitoring of High-Voltage Assets: A Review

A Method of Winding Fault Classification in Transformer Based on Moving Window Calculation and Support Vector Machine

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