Characteristics Extraction and Constrained Signal Modeling Method for Dynamic Errors Testing in Electricity Meters

Abstract

This study investigates the impact of electrical signal characteristics in the amplitude domain (AmD) for complex electricity metering condition. The method involves signal representation, characteristics extraction, and dynamic signal modeling. Initially, a random parameter model for complex electricity signals is established. Subsequently, a method for extracting signal parameters in the AmD is proposed. Furthermore, five characteristic functions and one characteristic parameter are proposed to depict the statistical characteristics of current amplitude. Additionally, four constraint conditions are built to reflect amplitude characteristics that induce dynamic errors beyond tolerance in electricity meter. Finally, two test Experiments are designed to assess dynamic errors in electricity meter. Long m-sequence test signal can cause errors out of tolerance in electricity meter, and the max error is −6.12%. However, when the short m-sequence test signal with different characteristics parameters is used to test the electricity meter, its error decreases to −1.22%. Experimental results indicate that three current amplitude characteristics significantly influence dynamic errors in electricity meter.

Keywords

• Amplitude domain characteristics
• electricity signal
• dynamic error in electricity meter
• dynamic signal modelling