A machine learning-based distribution network small-current grounding automatic pulling circuit control device
A low-current grounding, machine learning technology, applied in circuit devices, emergency protection circuit devices, electrical components, etc., can solve the problems of safe operation of the power grid, difficulty in optimizing the order of pulling, and long grounding duration, etc. Pull circuit opening and closing efficiency, reducing duration, and realizing the effect of pull circuit priority strategy
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[0022] Such as figure 1 As shown, a small-current grounding automatic circuit-pull control device for distribution network based on machine learning includes a data acquisition device 101, a small-current grounding diagnosis device 102, an automatic circuit-pull sequence generation device 103, and a sequence remote control device 104 connected in sequence. The sequence remote control device 104 is connected to the dispatching automation system, and the dispatching automation system is connected to the data acquisition device 101, and the automatic routing sequence generation device 103 is connected to the machine learning device 105, and the machine learning device 105 is connected to the historical routing recording storage device 106; 101, used to obtain the real-time operating conditions of the power grid; the low-current grounding diagnostic device 102, used to automatically determine the 10kV busbar with a small-current grounding fault according to the real-time operating ...
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