Research on Traveling Wave Fault Location of Transmission Lines Based on Particle Swarm Optimization Algorithm

Most transmission lines are exposed to the outdoor environment, especially cross-regional transmission lines, cross-mountains and rivers. Therefore, in the power system, transmission lines have the highest probability of failure in various components of the power system due to their working environment and other reasons. In this paper, based on PSO (Particle Swarm Optimization) algorithm, traveling wave fault location at both ends of transmission lines is studied. The simulation results show that the overall relative error of the network without ant colony algorithm optimization is very small, and the head-end error is large, basically within 9%, and the end-end relative error is slightly higher than the middle, basically within 5%. However, after optimization, the head-end error is within 8%, and the terminal relative error can also be controlled within 3%, which shows that the error after optimization is even smaller. The active identification of the precise time of the reflected wave head is realized by PSO algorithm, which greatly improves the reliability of ranging, while singular value decomposition has the advantage of accurately identifying fault signals and getting more accurate time parameters.