CVT error evaluation method based on moving window-weighted principal component analysis

The capacitive voltage transformer is an important metering device in power systems, the principal element analysis method has certain limitations in the error evaluation of capacitive voltage transformer (CVT), and this paper proposes an adaptive evaluation method based on moving window-weighted principal component analysis (PCA). This method combines the ideas of moving window PCA and exponential weighted PCA, which can adaptively update the evaluation model and achieve state evaluation of CVT. The moving window-weighted PCA method can effectively identify abrupt and gradual errors, which is more suitable for long-term CVT error monitoring.