Capacity Allocation Optimization of Wind-Solar-Hydrogen-Storage Coupled Power Generation System Based on a Double-layer Model

Abstract

Grid-integrated wind-solar and hydrogen storage coupling power generation systems face problems such as high costs of investment, construction, operation, and maintenance. After the conformity of renewable energy, the system’s dependability decreases, and the comprehensive power fluctuation influences the power grid greatly. To solve the above problems, this paper proposes a two-tier model. With the system economy, reliability, and wind-solar comprehensive power fluctuation suppression as optimization objectives, the capacity distribution of the hydrogen storage devices can be optimized. Based on a practical microgrid example, the inner and outer layers adopt Sparrow Search Algorithm (SSA) and Multi-objective Optimization Particle Swarm Optimization Algorithm (MOPSO), respectively, to solve the established model. The optimization results are compared according to three scenarios. The results demonstrate that this model can enhance the operational reliability of the system while considering the overall economy of the system and effectively suppressing the fluctuation of solar and wind power.