The feature recognition algorithm of reactive power metering difference considering dynamic and static power meter misconnection

In the power system, the accurate measurement of electricity meters is the basis for ensuring the fairness of power trading and maintaining the stable operation of the power grid. However, misconnection occurs frequently, especially in reactive power measurement, which seriously affects the accuracy and reliability of measurement. Therefore, this paper deeply studies the influence of misconnection of watt-hour meter on the difference characteristics of reactive power measurement under the dynamic and static relationship, and proposes a recognition algorithm. Firstly, the specific effects of wrong wiring on the principle of reactive power measurement are systematically analyzed, including voltage wrong wiring, current wrong wiring and phase mismatch of voltage and current. Then, combining the characteristics of dynamic and static data, an efficient feature recognition algorithm of reactive power measurement difference is constructed. By comprehensively analyzing the stability of static data and the real-time performance of dynamic data, the algorithm effectively extracts the key features caused by wrong wiring, and realizes the accurate identification of wrong wiring problems. The experimental results show that the algorithm has significant advantages in improving the accuracy of reactive power measurement and timely detecting misconnection problems, which provides strong support for the metering management of the power industry and the development of smart grid.