5g+ edge computing user side load multi-modal data real-time collaborative analysis method

By using a multimodal data collaborative analysis method based on 5G+edge computing, the problem of misjudgment in the unidentifiable interval of the net active power sequence was solved, and the accurate distinction between load behavior changes and distributed photovoltaic power output fluctuations was achieved, thereby improving the accuracy of power consumption perception and distributed photovoltaic collaborative operation in distribution substations.

CN122432877APending Publication Date: 2026-07-21BEIJING BODIAN INTERCONNECTED ENERGY TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING BODIAN INTERCONNECTED ENERGY TECH CO LTD
Filing Date
2026-04-28
Publication Date
2026-07-21

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Abstract

The application discloses a 5G+ edge computing user side load multi-modal data real-time collaborative analysis method and relates to the technical field of industrial data processing; the method comprises the following steps: based on the collected net active power sequence, the power change amplitude and the power change dispersion are calculated and obtained, the power cancellation state is identified based on the power change dispersion and the power change amplitude, and the power cancellation mark sequence is obtained; the power cancellation mark sequence is aggregated along the time axis, and the unidentifiable interval is generated through screening; based on the phase disturbance feature set, the harmonic structure feature set and the photovoltaic reachable state constraint, the unidentifiable interval is subjected to abnormal alarm discrimination, and the abnormal alarm information is obtained; the application realizes hierarchical constraint on reason attribution under the power cancellation state, and reduces the misjudgment caused by the mutual confusion of load behavior change and distributed photovoltaic output fluctuation.
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