The present application relates to the technical field of
electric energy identification, in particular to an
energy consumption identification system based on a power transformation
aliasing scene, which comprises a disturbance boundary extraction module, a boundary stability determination module, an
aliasing state identification module, a periodic power calculation module and an
energy consumption attribution determination module.In the present application, the start and end points of the periodic
voltage fluctuation index are continuously tracked to form a
voltage sag
record with
phase offset characteristics, a stable fluctuation determination mechanism is constructed in combination with offset statistics, and the accurate identification of the
aliasing section is realized with the help of disturbance amplitude and frequency extraction, the power sequence is constructed on the basis of
voltage and current synchronous sampling values, the periodic integral is completed, the high-precision calculation result of
energy consumption is formed, the fine division of the cross-interference periodic energy consumption is realized under the condition of no physical isolation, the dependence on external metering equipment is avoided, the independent quantification of the overlapping load energy consumption is realized, and a feasible means is provided for non-intrusive load identification and energy efficiency evaluation in a high-
coupling scene.