Errors of measurement equipment such as voltage and current transformers affect the accuracy of the fault location algorithm with power transmission lines. The measurement errors have randomized characteristics within a range allowed by manufacturing standards. The paper uses the Monte Carlo method to simulate the randomness of measurement errors and thereby assess the accuracy of the fault location algorithm. The fault location algorithm is used to locate the fault including Simple reactance method and Takagi method. In addition, the paper also focuses on assessing the sensitivity to identify any measurement errors which have the greatest impact of the fault location algorithm results. Through sensitivity analysis, the fault location algorithm that matches existing infrastructure conditions in practice is selected. The proposed error assessment method and sensitivity analysis has been tested in a simulated model of 220kV in Matlab/Simulink. The simulation results have verified the correctness of the conclusions in the paper.
Keyword
Fault location, Monte Carlo method, Sobol method, decomposition variance, sensitive analysis
