Abstract

With the complexity of distribution network structure, the traditional fault line selection method of small current earthing system can not meet the current power grid requirements, and can not guarantee the accuracy of fault location. Therefore, for the problem of fault line selection of small current neutral grounding system, it is an important research subject. Aiming at the problem that the accuracy rate of fault line selection of small current neutral grounding system is not ideal, a line selection method based on improved fuzzy Petri net is proposed. Three characteristic parameters of wavelet energy, active component and the fifth harmonic component are selected to conduct fault judgement as the input vector of fuzzy Petri net. Aiming at the dependence of fuzzy Petri net parameter selection on experience value, BP neural network is used for optimization. The results of the example simulation analysis show that the algorithm in this paper is of certain effectiveness and practicability.

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