Local Transient Saturation Identification Method for Current Transformers Based on Wavelet Analysis
In order to accurately capture the local transient saturation phenomenon of current transformers and ensure the safe and stable operation of power systems,a method for identifying local transient saturation of current transformers was studied using wavelet analysis.Firstly,use a data acquisition card to collect the secondary side current signal of the current transformer,and perform denoising and amplification preprocessing on it.Secondly,using wavelet analysis to extract CT saturation state features and achieve accurate characterization of saturation state.On this basis,based on some key characteristics of current transformer saturation,a local transient saturation state threshold is set,and compared with the operating characteristics of the current transformer to identify whether it has entered a local transient saturation state.The results show that after application,the recognition rate of this method has reached over 98%,showing high sensitivity and being able to more accurately detect and recognize weak signs of saturation.
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