Power distribution network high-resistance grounding fault recognition method based on convolutional neural network
A high-resistance ground fault and convolutional neural network technology, applied in the field of distribution network, can solve problems such as threatening the safety of electrical equipment, falling on sandy ground, cement ground, and easy fires, etc., achieving excellent classification performance and adaptability, The effect of enhanced signal comparability and good recognition performance
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[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0031] Such as figure 1 As shown, this embodiment provides a method for identifying a high-resistance ground fault in a distribution network based on a convolutional neural network, which specifically includes the following steps:
[0032] Step S1: Obtain transient disturbance signals caused by high-impedance ground faults and other transient conditions;
[0033] Step S2: Decompose the signal obtained in step S1 by using the local feature scale decomposition method;
[0034] Step S3: performing band-pass filtering on the signal decomposed in step S2 according to the set frequency band, and constructing a time-frequency matrix;
[0035] Step S4: Obtain the time spectrum diagram of the block;
[0036] Step S5: Use the convolutional neural network algorithm to classify and identify the block time spectrum diagram obtained in step S4, and then use the BP...
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