The application relates to the technical field of power
system energy storage planning, and specifically discloses a
system for optimizing configuration of
energy storage equipment based on an AC-DC
power grid, which acquires a basic
data set; adopts a density peak clustering
algorithm to reduce scenes of wind and light output and
load time series data, and generates a multi-scene
time series data set; obtains electrical quantities of each node through
power flow calculation, and calculates
modal sensitivity indexes of each node on network loss and
voltage stability based on a Jacobian matrix
modal decoupling analysis, so as to screen a set of
energy storage configuration nodes to be selected; takes the set of energy storage configuration nodes to be selected as the basis, takes minimization of the whole life cycle cost of the
system as the target, and solves to obtain preliminary configuration power and capacity; substitutes the preliminary configuration scheme into electromagnetic transient
simulation for dynamic response
verification, and if the safety and stability requirements are met, the final scheme is output, otherwise, the constraint conditions are corrected according to response deviation and re-iterative optimization is carried out; the application realizes collaborative optimization between economy and dynamic safety and stability of the energy storage configuration scheme.