Non-intrusive load decomposition method based on waveform distortion characteristic time sequence change

CN120879618AActive Publication Date: 2025-10-31UNIV OF SCI & TECH OF CHINA
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Patent Information

Application Number
CN202511396854.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-28
Publication Date
2025-10-31
Estimated Expiration
2045-09-28

AI Technical Summary

Technical Problem

Existing non-intrusive load decomposition technologies suffer from several problems, including high-power appliances masking the state characteristics of low-power appliances, insufficient feature transferability due to load diversity and similar electrical parameters, small differences in load state characteristics, and poor adaptability to dynamic operating conditions.

Method used

The current signal of the power circuit is collected by a high-precision current transformer. Using a synchronous sampling and holding and real-time stream processing architecture, the effective value, maximum value, harmonic amplitude and differential signal characteristics of the current signal subsequence are calculated to form a state feature matrix, eliminate outlier errors, obtain the power load feature vector, and realize load decomposition.

Benefits of technology

It enables precise load status monitoring of power networks, improves dynamic operating condition adaptability and computing resource efficiency, and solves the problems of insufficient feature transferability and small differences in load status characteristics.

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Abstract

The invention relates to the technical field of non-intrusive load decomposition, in particular to a non-intrusive load decomposition method based on waveform distortion characteristic time sequence change, which comprises the following steps of: acquiring a current signal of an electric loop to be monitored in real time by taking one second as a unit; performing equal-length cutting on the acquired current signals by taking a complete current period as a unit to form current signal subsequences; calculating effective values and waveform distortion characteristics of the current signal subsequences to obtain a current signal state characteristic matrix; the method has the beneficial effects that the residual elements of the new current signal characteristic matrix are averaged to obtain the electrical load characteristic vector, and the load decomposition of the to-be-monitored electrical network is realized according to the effective electrical load characteristic vector time sequence change rule, so that compared with the traditional non-intrusive load decomposition technology, the method has the advantages that the load decomposition efficiency is improved; the technical problems that the characteristic mobility is insufficient, the load state characteristic difference is small, and the dynamic working condition adaptability is poor can be effectively solved, and the method is more practical due to the fact that the requirement for computing resources is small.
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Citation Information

Patent Citations

  • Canonical correlation analysis-based non-invasive load identification method

    CN107832705A

  • Steady-state current model-based non-intrusive type load decomposition method

    CN108257044A