Abstract
With the rapid growth of economy, accelerating the feeder automation construction of distribution network and finally building a strong intelligent distribution network is an important means to improve the rapid response ability of distribution network faults, the management level of distribution network and economic benefits. With the increasing use of cables in the distribution network, the probability of cable problems in the power supply system will increase. Intelligent distributed fault self-healing control of distribution network is based on feeder automation, combined with the analysis results of distribution network state estimation and power flow calculation, to automatically diagnose the current running state of distribution network and make control strategy decisions. This article analyzes the causes of common faults in urban power supply and distribution, and puts forward the fault diagnosis technology of urban power supply and distribution based on Back propagation neural network (BPNN), in order to improve the fault diagnosis speed of smart grid, and ensure that the power cable can be eliminated in time and run safely.
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