Power transmission line parameter online identification method and system based on PMU error correction

Abstract

The invention discloses a power transmission line parameter online identification method and system based on PMU error correction. The method comprises the following steps: firstly, according to error types and corresponding characteristics of measurement data, pre-processing PMU data in a classified manner; then, aiming at a bias error which is difficult to perceive, a PMU measurement error correction method considering a data rule and an error sensitivity characteristic is provided based on a power transmission line centralized equivalent model; finally, on the basis of the above correction method, a whole station PMU data quality treatment scheme is provided. Simulation is carried out through simulation and actual measurement data, and the result shows that compared with an existing method, the method can improve the actual data quality of the PMU, and then effective identification of the power transmission line parameters is achieved.

Description

technical field [0001] The invention belongs to the field of power system analysis and calculation, and in particular relates to an online identification method and system for transmission line parameters based on PMU error correction. Background technique [0002] Transmission line parameters are the basis of power system operation analysis, and their accuracy plays an important role in power grid security analysis and stable operation. [0003] PMU (Phasor Measurement Unit, PMU) has high theoretical measurement accuracy, and can directly obtain the voltage and current phasors at both ends of the transmission line, so as to realize the advantages of independent online identification after the decoupling of the line and the whole network. [0004] However, errors and interference inevitably exist in the actual environment, and the theoretical high precision of the PMU cannot always be guaranteed. PMU measurement errors can come from sensor accuracy, measurement algorithms, ...

AI Technical Summary

Problems solved by technology

But it mainly focuses on the phase angle error, and to simplify the calculation, it is assumed that the phase angle errors at both ends of the line can be attributed to one end of the line, and the amplitude error and the phase angle errors at both ends cannot be obtained

In addition, the true value of the actual operating data of the PMU is often unknown, which makes it difficult to guarantee the reliability of the line PMU calibration results

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