Intelligent Switching Strategy of Fault Current Limiter Based on Fast Identification of Grid Faults

With the rapid development of the power grid, short circuit current has gradually become the main limiting factor for the safe operation of the current power grid. In the current current suppression methods, the fault current limiter is put into operation without distinguishing the size of the short-circuit current, which results in the loss of life of the fault current limiter. This paper proposes an intelligent switching strategy of the fault current limiter based on the rapid identification of power grid faults. Firstly, the fault phase is identified by deep learning CNN model, and then the SVM model is used to determine the phase to phase grounding fault type, and solve the problem of poor accuracy and slow identification speed of the traditional fault identification method for two-phase fault identification; Then the timing coordination strategy of conventional circuit breaker and fault current limiter is proposed. Finally, simulation verifies the correctness of this method.