There are some problems such as power grid structure reconstruction and power flow distribution characteristics when the wind-photovoltaic power generation system is integrated into the park′s public power grid. Considering the energy storage system “peak load and frequency regulation” feature

from the perspective of energy coordinated control

the paper proposes an energy storage device to regulate the park scenery storage integration of core system reactive power optimization control strategy

and the neural network particle swarm optimization（PSO） algorithm is used to solve the energy storage capacity optimization of the output of different control objectives. Compared with the traditional coordinated control mode

the flexible interconnection between low-voltage power grid feeders in the park and the stability of power flow switching of distributed energy supply are greatly improved under the appropriate iterative optimization of energy storage capacity. The integrated model of landscape storage in MATLAB/Simulink verifies the effectiveness and correctness of the proposed control strategy.