Non-intrusive load identification method with self-learning ability and smart electric meter

Abstract

The invention relates to a non-intrusive load identification method with a self-learning ability and a smart electric meter, aiming to overcome the defect that existing non-intrusive load identification technology cannot realize self-learning. A metering core of the smart electric meter provides voltage and current sampling data; a load identification core intercepts transient variation and peripheral steady state data and calculates a load characteristic, and a load identification and load characteristic library is updated and modified; and a management module interacts with a user so as to determine uncertain identification results, and calculates electric appliance running data. The load identification method realizes self-learning; when a new electric appliance is added, the existing identification method is still usable; the characteristic library size is kept within a certain range; and load identification operation amount is within a certain range.

Description

technical field [0001] The invention belongs to the technical field of non-invasive load identification, and in particular relates to a non-invasive load identification smart electric energy meter with self-learning ability. Background technique [0002] "Non-intrusive load identification" is a technology that uses electrical appliance feature construction and pattern recognition technology to analyze the power consumption status of end-users of the power grid, and specifically refines it to each household appliance; [0003] With the development of this technology, it is on the agenda of the power supply department to explore and build a real-time, sensitive terminal power grid perception, interaction and application system, and to provide "customer-centric" high-quality new power supply services; Provide data support by grasping the actual electricity consumption of the user's household appliances, predicting the electricity consumption of the terminal grid in advance, and...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiency that the existing non-intrusive load identification technology cannot be self-learning, and provide a non-intrusive load identification method with self-learning ability and a smart meter

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