Analysis of the Correlation Between Multiple Interference Factors and the Measurement Error of CVT

The measurement accuracy of Capacitive Voltage Transformers (CVTs) plays a vital role in high-voltage electric energy metering systems and is a key factor in ensuring the reliability and stability of power system metering. Numerous factors, such as temperature, electric fields, and humidity, can influence CVT accuracy, potentially leading to measurement errors that affect overall system performance. Therefore, a systematic correlation analysis of these interference factors is necessary to clarify their mechanisms and impact levels. This study conducted an in-depth analysis using Pearson correlation analysis to evaluate the effects of external factors, including temperature, electric fields, and humidity, on CVT measurement errors such as ratio and angular errors. The results show that electric fields have the most significant impact on CVT measurement errors, requiring particular attention in design and application. These findings provide an important theoretical basis for monitoring and assessing CVT errors in high-voltage metering systems and offer scientific guidance for improving their performance.