With the gradual advancement of the “carbon peak and carbon neutrality”goal

mobile energy storage

which helps to promote the consumption and improve the utilization rate of new energy

has developed rapidly. Firstly

based on the characteristics of new energy

distribution network

and mobile energy storage

this paper establishes an optimal con-figuration model of mobile energy storage distribution network with new energy

with the comprehensive goals of minimizing the rate of waste wind and solar energy

minimizing the loss of distribution network

and minimizing operating cost under the constraints of distribution network operation and mobile energy storage operation. Then

based on mutation

crossover

and selection operations

the diversity of the search population and the global search ability are im-proved. This paper proposes the salp swarm algorithm based on differential evolution to obtain the optimal configuration state of mobile energy storage at various time periods. The results indicate that the solution algorithm has faster convergence speed and higher positioning accuracy. Finally

the applicability of the optimal configuration model and solution algorithm proposed in this paper are verified through empirical analysis of distribution network line X.