Intelligent Detection Method of Digital Electric Energy Measurement Error Based on Nuttall Window Weighted Harmonic Analysis

Abstract

The current digital electric energy measurement error intelligent detection nodes are mostly set in the directional form, and the detection range is limited, resulting in an increase in the final false detection rate. Therefore, the design and verification analysis of the digital electric energy measurement error intelligent detection method based on the Nuttall window weighted harmonic analysis is proposed. According to the actual detection requirements and the changes in standards, the initial detection error data collection is carried out. The multi-level method is adopted to expand the detection range, set the adaptive multi-level intelligent detection node, build the Nuttall window weighted harmonic energy measurement error intelligent detection model, and use the harmonic transformation processing to achieve intelligent detection. The final test results show that the final false detection rate is well controlled below 30%, which indicates that this intelligent error detection method is highly targeted and stable, and the measurement accuracy is more controllable, which further reduces the occurrence of detection errors and has practical application value.