The invention discloses a
power grid energy storage configuration optimization method,
system, equipment and medium, and belongs to the technical field of
energy storage, and the method comprises the steps: arranging meteorological sensing nodes in a hexagonal
honeycomb topological structure to collect meteorological data, inputting the meteorological data into an embedded constraint LSTM network after compression, receiving the
prediction probability distribution of output
new energy output through a game model, and carrying out the optimization of the
energy storage configuration of a
power grid. A reverse
induction method is adopted to optimize meteorological risk self-adaptive energy storage collaborative configuration in a layered mode, a
mass conservation equation residual error is verified, a residual error result is fed back to a fluid
mechanics constraint condition to be verified, a
Pareto optimal solution set is iteratively screened to form a
closed loop verification link, and data of meteorological sensing nodes of a hexagonal
honeycomb topological structure are processed into a
closed loop verification link. And transmitting to an energy storage converter controller after predicting the confidence and the
time error, and
broadcasting energy storage state information to a block
chain network to verify the authenticity of the data. The intelligent level is improved, configuration and scheduling of energy storage resources are optimized, and the stability and reliability of a
power grid are guaranteed.