Theory and Modeling of Characteristic Analysis in Run Domain for Complex Dynamic Electrical Energy Signal

The strong stochastic fluctuation of complex dynamic electrical energy signals has resulted in significant issues of electricity metering error overproof during the construction of new power systems, both domestically and internationally. To tackle this problem, a theory was proposed to analyze and model the run-domain characteristics of these signals. Crucial characteristics were identified in terms of their impact on metering errors. Firstly, a random parameter model was constructed for these signals. Secondly, a theoretical method was proposed to map current amplitude sequences into the run domain. In this process, characteristic parameters were constructed to extract local characteristics representing rapidly time-varying fluctuation in current. In contrast, characteristic functions were utilized to extract global characteristics representing stochastic fluctuation in current. A multi-characteristic constraint model and methods for characterizing constraint conditions based on run-domain characteristics were proposed. Finally, a long m-sequence dynamic electrical energy reference test signal model was constructed, considering local and global characteristics within the run domain. The influence of these run-domain characteristics on electricity meter error was revealed through experimental analysis. These findings led to recommendations for enhancing international electricity meter error testing standards.