Research on Online Detection Method of Transformer Winding Deformation Based on VFTO Characteristics

Author:

Shi Xinghua1,Wei Ran1,Zhang Wenbin2

Affiliation:

1. Faculty of Science, Kunming University of Science and Technology, Kunming 650504, China

2. College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China

Abstract

At present, most of the winding fault detections of transformers use offline methods, which require the entire line to be powered off or after the transformer has been shut down due to a serious fault, and they cannot detect the running status of the windings in real time and online. Since the transformer will be impacted by VFTO during operation, the VFTO is used as the excitation, and the basic principle of the frequency response method is used to propose an online detection method of transformer winding deformation based on VFTO characteristics. The finite element software is used to calculate the equivalent circuit parameters of normal and deformed windings, and the equivalent circuit model of the transformer windings before and after deformation is established. Due to the uncertainty of the VFTO waveform, combined with the frequency response method, the VFTO waveform is injected into the transformer winding health, and the frequency response curve is obtained from the deformed equivalent circuit, which is used to analyze the change of the resonance point in the case of radial deformation, axial deformation, and axial displacement of the winding. The simulation results show that with VFTO as the excitation, the obtained resonance point change can comprehensively reflect the deformation information of the winding. At the same time, the feasibility of the method is verified by experiments.

Funder

Research and development of new smart sensor technology to promote the development of green energy

Scientific Research Foundation of Yunnan Provincial Department of Education

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference21 articles.

1. Simulation and Example Verification of Transformer Winding Fault Diagnosis System;Wang;Smart Power,2017

2. Zhang, S., Cai, Z., and Zhang, D. (2009, January 11–12). Online monitoring of winding deformation of power transformer based on ARM and FPGA. Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, China.

3. Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers;Bagheri;Electr. Insul. Mag.,2013

4. (2018). Guide for Reactance Method to Detect and Diagnose Winding Deformation of Power Transformer, National Energy Administration.

5. Standardization Administration of the People’s Republic of China (2016). Power Transformer-Part 18: Measure of Frequency Response, Standardization Administration of the People’s Republic of China.

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