Abstract Details
31 / 2024-03-28 15:51:26
Research on Ferromagnetic Resonance Fault Identification Method of 10kV Electromagnetic Voltage Transformer
Electromagnetic Voltage Transformer,Ferromagnetic Resonance,Feature Extraction,Fault Identification,Variable Mode Decomposition,BP Neural Network
Final Paper
【Abstract】With the increasing development of power grids, the problem of ferroresonance in neutral-point non-grounded power distribution systems is becoming more and more serious. Due to the close similarities in characteristics between single-phase grounding fault overvoltage and ferroresonance overvoltage, in order to correctly diagnose the type of overvoltage, firstly, the simulation model was built by PSCAD to obtain the simulation waveform of different faults. Then, the resonance overvoltage fault feature extraction method based on VMD was constructed by MATLAB. Finally, by comparing the influence of the number of input layer nodes and the number of hidden layer neurons on the BP neural network, the BP neural network was optimized by MATLAB to achieve the identification of ferroresonance and normal working, grounding fault states, and provide a reliable judgment standard for the action of protection devices.
Important Date
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Conference Date
Nov 10
2024
toNov 13
2024
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Nov 11 2024
Draft paper submission deadline
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Nov 19 2024
Registration deadline
Sponsored By
Xi’an Jiaotong Universit
Contact Information
Previous Conferences
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2022-11-24 Bangladesh Dhaka
2022 International Conference on Energy and Power Engineering -
2019-03-14 Bangladesh
2019 International Conference on Energy and Power Engineering
