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The integration of distributed power supply into the distribution network is an important trend in the development of the current new power system. In view of the problem that the system can not quickly and accurately obtain the fault type and locate the location of the fault when the current distributed power distribution network fails. Introduce a detection method to optimize the current fault analysis system of distribution network based on the grey Wolf pack algorithm (Grey Wolf Optimization, GWO), and optimize the fault detection algorithm based on the optimization of distribution network structure. In addition, a complete analytical model of complete fault information such as medium calculation, misoperation and action is constructed to improve the analytical model of detecting complex fault situations in the distribution network. Through example analysis, the effectiveness of the fault detection model of distributed power distribution network based on gray Wolf swarm algorithm is verified, reducing the probability of fault miscalculation of distribution network to a certain extent, and solving the problem of low accuracy and slow speed of distribution network fault detection in the traditional algorithm.
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