The parameter tuning of the flexible arc suppression device controller for single-phase grounding faults in distribution networks is difficult due to differences in distribution network and load characteristics

the influence of grounding position and transition resistance on fault conditions

and the lack of direct calculation methods. This article proposes a method for real-time tuning of PI controller parameters based on a particle swarm optimization algorithm to address this issue. This article first analyzes the principle and control stability of the flexible current arc suppression method. Secondly

the particle swarm optimization algorithm is applied to optimize the PI controller's proportional and integral adjustment coefficients based on controlling stability. Finally

experiments were conducted using simulation software and physical models to simulate single-phase grounding faults under various conditions

such as different distribution networks

grounding methods

and fault points. Arc suppression devices were used to suppress the fault current

and the results showed that this method can suppress the fault current within 1 to 2 operating cycles. It applies to various distribution networks and fault situations

avoiding manual repeated parameter tuning

improving the arc suppression effect

and providing new ideas for parameter tuning optimization.