A Smart Meter Measurement Time Error Identification and Correction Method based on TESM and Correlation Analysis

In advanced measurement infrastructure (AMI), the time deviation of measurement data becomes intolerable due to the inaccurate timing of smart meters. However, there are few solutions to the identification and correction of the smart meter time errors since the time error is hardly identified according to the measurement values. In this paper, a novel distribution network measurement time error identification method is proposed. The time error status model (TESM) with the data that include time errors is used, and the correlation analysis is adopted to determine the set, which includes the true time error status. The time errors of each sub-meters can be identified according to the maximum correlation estimated time error status set, and the data without time errors can be recovered. The proposed method is applied in Case studies with IEEE 33 bus are used to verify the feasibility and effectiveness of the proposed method.