An Online Accuracy Evaluation Method for Smart Electricity Meter Calibration Devices Based on Mutual Correlations of Calibration Data

As the testing device for smart electricity meters (SEMs), a calibration device (CD) should be ensured to have qualified metering performance. The conventional inspection could only be conducted periodically, usually once a quarter, making the deterioration between two inspections neglected. Thus, studies have been made on the online inspection. Most of them are developed only for functional failure but not performance deterioration, while several theoretically feasible methods rely on too large data volume and variety to be practically applied. In this article, an accuracy evaluation method is proposed based on the idea that the difference in two CDs’ metering performance could be reflected through the correlation of time-series data formed by their testing results. Two-stage evaluation strategies are proposed to evaluate the CD’s metering performance under multiple abnormal devices. Also, the advantage in the data volume and variety is demonstrated, and the effectiveness and superiority of the proposed method are further verified with an application.