Online Evaluation of Error State of Current Transformer based on Data Analysis

Abstract

In order to solve the problem of measurement errors being easily affected by various factors and poor stability of all fiber current transformers, the author proposes an online evaluation of the error status of current transformers based on data analysis. The author proposes a method for evaluating the error status of all fiber current transformers based on correlation analysis: collecting measurement data of three all fiber current transformers at the same measurement point in the converter station, under the constraint of electrical physical correlation, principal component fractal is applied to the measurement data of all fiber current transformers, and error evaluation is mapped to the analysis of changes in Q-statistics. The experimental results indicate that: The method proposed by the author can achieve real-time evaluation of measurement errors in all fiber current transformers, with an evaluation accuracy of up to 0.2 levels. This method greatly improves the evaluation efficiency of measurement errors in all fiber current transformers, reduces the effective power outage time of the power grid, and provides data support for the reliable operation, state prediction, and related technology improvement of all fiber current transformers.