Detection of ferromagnetic resonance for distribution system

Neutral Ineffectively Earthed Power Systems widely exist in the low and medium voltage distribution networks in China. With transient excitation, electromagnetic voltage transformer is easily saturated to cause ferromagnetic resonance. Combined with the advantages of wavelet analysis and FFT transform, a novel method for detecting the ferromagnetic resonance signal is proposed in this thesis. The above method combined the MABLAB algorithm with fast Fourier transform. The MATLAB algorithm was used to ensure the excitation and the start time of ferromagnetic resonance, and FFT algorithm was used to ensure the frequency of the ferromagnetic resonance signal for ferromagnetic resonance identification. EMTP and MATLAB simulation results showed that this method can extract and analyze the ferromagnetic resonance signal accurately and effectively which can improve the reliability and practicability and it possesses great significance.