The Use of Non-intrusive Load Identification Technology Based on Smart Electricity Meters

At present, as the residential electricity power consumption growth rate is far higher than that of industrial and agricultural electricity power consumption, optimize the residential electricity power consumption behavior is of great significance to reduce the power grid peak-valley gap and comprehensive energy loss. To study the non-intrusive load identification technology, analyze residential electricity usage details and provide electricity usage suggestion to residents is of paramount importance. In this paper, the non-invasive load identification technology is deeply studied and the layered classification algorithm based on multidimensional load characteristic matching is proposed. On the basis of State Grid single-phase carrier intelligent electricity meter, the intelligent power meter with residential load identification function is developed. In order to verify the load identification function of smart electricity meters, the test environment was set up in the laboratory. Test results displayed that the identification accuracy of the electric appliance type can be 100%. In addition to the extremely complicated working conditions, the power consumption identification accuracy of smart electricity meters is more than 90%.