The scale of the power grid is expanding day by day

and the short circuit level of the power grid is continuously rising.Installing the current limiter is an economically feasible current limiting measure.Based on the big data method and the EMTP electromagnetic transient simulation method commonly used in the industry

this paper proposes a method of electromagnetic transient simulation modeling of fast switching fault current limiter according to the actual situation.Given the time step

the time-domain differential discretization of the electromagnetic transient process of the internal components of the fast switching fault current limiter forms a form of companion circuit suitable for EMTP electromagnetic transient simulation.By analyzing the data of a large number of current limiters and the operational data of various current limiting scenarios in the power system

combined with the inherent parameters and structural characteristics of the fast switching fault current limiter

the electromagnetic transients of the current limiter are described.The related feature sequences of the process

and the BP neural network algorithm is used to train the constructor of the Norton equivalent parameter of the companion circuit

and the current limiter model suitable for the EMTP electromagnetic transient simulation method is obtained.Finally

the neural network training and example simulation of the typical fast switching fault current limiter experimental data are carried out.The results show that the method can simulate the electromagnetic characteristics of the fast switching fault current limiter.