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