Power distribution network short-time lightning stroke fault risk early warning method, equipment and medium

Power distribution network short-time lightning stroke fault risk early warning method, equipment and medium

The invention relates to a short-time lightning stroke fault risk early warning method and device for a power distribution network, and a medium. The method comprises the following steps: obtaining historical thunderstorm cloud data and regional power distribution network resource information; input...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: MAO WEIYUN, YANG FAN, SU QISHENG, LU BINGBING
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
MEASURING
METEOROLOGY
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TESTING
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Beschreibung
Zusammenfassung:The invention relates to a short-time lightning stroke fault risk early warning method and device for a power distribution network, and a medium. The method comprises the following steps: obtaining historical thunderstorm cloud data and regional power distribution network resource information; inputting the historical thunderstorm cloud data and the regional power distribution network resource information into a pre-constructed double-layer mathematical model, and obtaining the short-time lightning stroke fault type and probability of the power distribution network to generate corresponding risk early warning information, the double-layer mathematical model comprises an upper-layer short-time lightning stroke fault early warning model constructed through a deep learning model and a lower-layer thunderstorm cloud trend prediction model used for predicting the thunderstorm cloud trend and inputting the thunderstorm cloud trend to the upper-layer short-time lightning stroke fault early warning model. Compared wi