The invention relates to the technical field of
data processing, in particular to a distributed photovoltaic power supply method and
system based on
big data interconnection, and the method comprises the following steps: collecting photovoltaic node
time sequence data, recognizing trend turning and abrupt
change positions, positioning a trend synchronization point and a time migration range, extracting and sorting resource repetition requests, and recognizing common time abrupt change nodes. And screening the replacement channel, and outputting a path change
list. According to the method, a behavior change sequence is constructed through a node change trend and a
mutation amplitude, a
sequence structure is constructed by combining direction consistency and an offset range to calibrate a
time sequence difference, request intensity and time to express a resource concentration feature, continuous
mutation time points are extracted, and a time-sharing node group is positioned in a cross manner; the method combines path load screening to replace channels and adjust the path sequence, and achieves the effects of realizing node behavior identification precision, resource
request response ordering, time-sharing event positioning high efficiency and path scheduling
adaptation dynamic, and improving the response capability and power supply coordination in a multi-node change scene.