Based on the coordinated optimization of transient control parameters for wind

solar

hydro

thermal

and energy storage

this paper optimizes the energy storage configuration in a new energy base. Firstly

by analyzing the transfer functions of wind

solar

hydro

thermal

and energy storage in the new energy base

the transient control parameters of each device are determined

and a comprehensive source-storage control model for the new energy base is established. Then

based on a convolutional neural network

three convolutional layers with different kernel sizes are set up and combined with a long short-term memory network to build a hybrid neural network model. This model is used to coordinate and optimize the transient control parameters of wind

solar

hydro

thermal

and energy storage

proposing a control strategy for the new energy base. Finally

based on the power deficit

a two-level optimization objective function for energy storage is established. By comparing the economic performance and transient stability enhancement capability of energy storage under different scenarios

an optimized energy storage configuration method for the new energy base is proposed

achieving safe

stable

and economical operation of the new energy base.