Capacity optimization of energy storage system based on high proportion of new energy

The development goals of “carbon peak, carbon neutral” will boost the large-scale development of a high proportion of new energy, but also is bound to bring a significant burden to the grid consumption. In this paper, a dual-layer optimal scheduling model of energy storage sharing mode under high proportion of new energy is proposed to quantitatively analyze the influence of the planned capacity of energy storage on the power abandonment rate of new energy. Aiming at the complex nonlinearity of the two-layer optimization model, an improved moth extinguishing algorithm was used to optimize the target model. Finally, the modified IEEE-9 node test network is used to verify the rationality of the proposed model and algorithm.