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The project intends to model the stability of power system with a deeplearning algorithm to the problem, aiming to delay the removal of the fault.The so-called "fail-delay cut-off" refers to the occurrence of N-1 backupprotection action on the backbone network of the system, resulting in longertime for the removal of the fault. In practice, through the analysis andcalculation of a large number of online data, we have found that the N-1failure system of the main protection action will not be unstable, which isalso a guarantee of the operation mode arrangement. In the case of the N-1backup protection action, there is an approximately 2.5% probability that thesystem will be destabilized. Therefore, research is needed to improve theoperating arrangement.

Deep-learning Based Modeling of Fault Detachment Stability for Power Grid