The invention discloses a segmented
energy storage direct-hanging convergence method based on photovoltaic direct-current networking, and relates to the technical field of segmented
energy storage of photovoltaic direct-current networking, and the method comprises the steps: constructing a direct-current networking
system, collecting the operation data of the direct-current networking, and constructing a
data set; based on the
data set, dynamically adjusting the output power of a plurality of
energy storage modules in real time through an adaptive power distribution
algorithm, and balancing each energy storage module according to the use frequency and depth; and constructing a long-term optimization strategy of the direct-current networking
system based on real-time adjustment and control of the direct-current networking
system, and continuously optimizing
system configuration and
algorithm performance. By combining
direct current networking, segmented energy storage and an
artificial intelligence algorithm, the
electric energy conversion efficiency is remarkably improved, the equipment loss is reduced, load variable frequency driving is realized, the
system structure is simplified, and the
fault rate and the equipment cost are reduced. And meanwhile, energy storage utilization is optimized, the response speed and stability of the system are improved, and access of
renewable energy sources is better adapted.