Research on a Beidou and Two-Stage Based Fault Identification and Location Technology for Power Communication Networks
A method based on Beidou and two-stage fault localization is proposed to address the low accuracy of current fault lo-calization in distribution networks using traveling wave methods.Build a minimum optimization model for all road sections u-sing the initial arrival time of the traveling wave,and locate the initial fault once based on Particle Swarm Optimization(PSO)algorithm.In order to reduce the impact of time error on the positioning results,residual clustering algorithm is used to per-form secondary correction on the fault segment,calculate the corrected solution of the fault distance,and improve the accuracy of fault positioning.Send the determined fault information to the power inspection personnel through Beidou short message communication,thereby quickly achieving inspection and maintenance of the positioning results.During the experimental stage,through multiple sets of experiments,the absolute error of the proposed fault location method was less than 80m.Compared with the multi terminal traveling wave fault location method,the average positioning accuracy of the proposed method has im-proved by 71.63%.The experimental results validate the effectiveness of the proposed two-stage positioning method,indicating that the proposed method has a strong tolerance for time errors and has broad application prospects.
distribution networkfault locationtraveling wave methodparticle swarm optimizationclusteringBeidou
NETL
NSTL
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