Accurate transmission line parameters play a very important role in the normal operation and stability of the power system, so the power system needs accurate parameter identification and measurement to ensure accurate parameter input to the power system in order to ensure the normal operation and stability of the power system, based on this, relatively high precision parameter identification has become one of the important research directions, so the proposed therefore proposes the use of dynamic factor. Compared with the traditional least recursive squares method (DRLS), which is relatively weak for the stability of model errors and sensitivity to outliers, the least squares method based on dynamic factor superposition has stability, strong resistance to error and accelerates the solution speed by cleverly selecting the pre-processing method, and the simulation verifies the resistance to error of the algorithm. The simulation verifies the algorithm's ability to resist errors, and according to the feasibility index of multi-point measurement, the results obtained improve the identification accuracy.
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