The application discloses an
energy supply side optimization
management system and an implementation method, and relates to the technical field of
energy management. The method comprises the following steps: collecting source end data of an
energy supply side, analyzing the source end data through a multi-level protocol
adaptation engine and a dynamic
rule matching engine, and extracting various energy characteristics and GIS information of the
energy supply side; constructing a multi-energy flow topology
constraint matrix based on the energy characteristics, performing fine-grained geographical grid division based on the GIS information of the energy
supply side, and determining grid-level energy dynamic parameters; combining the multi-energy flow topology
constraint matrix to perform dynamic trend adjustment on the grid-level energy dynamic parameters, and determining a grid-level energy
dynamic prediction atlas; finding a best trade-off solution set through a
population aggregation and dispersion
search algorithm; combining a
safe operation boundary to perform constraint solving on the best trade-off solution set, and determining an optimal solution of energy dispatching. The application improves the accuracy and foresight of
energy management, accurately traces loss links, and drives the
system to continuously evolve in the direction of low carbon and high efficiency.