Online Partial Discharge Detection Method for Substation Transformers Based on Wavelet Packet Energy Entropy and VDM
In order to accurately and timely perceive abnormal phenomena such as partial discharge of transformer,taking a transformer in a substation as an example,the research on partial discharge online detection method is carried out.The wavelet analysis method is used to collect and analyze different kinds of discharge parameters;the original signal of trans-former running under normal conditions is collected.According to the energy conservation principle proposed by wavelet packet energy entropy,wavelet packet energy entropy and VDM are introduced to extract the local energy entropy of transformer;according to the equivalent analysis of transformer discharge,the voltage value in the equivalent capacitance is obtained.Based on this,the on-line detection of transformer partial discharge and the judgment of discharge intensity are realized.The experimental results show that the designed method can accurately identify and detect the partial dis-charge of transformer.
wavelet packet energy entropyonline detectionpartial dischargetransformersubstationVDM
NETL
NSTL
万方数据
