Particle Swarm Optimization Support Vector Machine Based Grounding Fault Detection Method in Distribution Network

The present fault detection method for low-voltage distribution networks is difficult to detect single-phase grounding faults under complex working conditions. In this paper, a particle swarm optimization (PSO) support vector machine (SVM) based grounding fault detection method is proposed in the distribution network. By improving the inertia weight value and introducing a flight time factor, the PSO algorithm can be improved. The parameters <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$g$</tex> of SVM can be optimized based on the improved PSO algorithm. Based on the PSO-SVM based method, the grounding fault detection method can be established. By testing the proposed model in the simulation and experiment, its effectiveness and detection accuracy is validated.