A Two-Layer Optimization Strategy for Multi-Energy Microgrid in Green Power-Based Ammonia Synthesis

Driven by China's “dual carbon” policy, microgrid technology has developed rapidly. Promoting the consumption of renewable energy in microgrids is gradually attracting widespread attention. This paper studies the optimization and dispatching of microgrids coupled with wind energy, photothermal power generation, electricity to ammonia and energy storage systems. By optimizing the energy storage capacity configuration, the economic benefits and operating efficiency of the system are improved. The study adopts a two-layer optimization model. The upper layer maximizes economic benefits by reducing the investment and operating costs of the microgrid, while the lower layer focuses on the coordinated operation of the system. This article compares three scenarios. The results show that the introduction of electro-amination technology and modified particle swarm optimization algorithm (MPSO) can significantly reduce system costs, reduce wind and light abandonment and improve the economic benefits of ammonia, ultimately achieving the optimal microgrid Economical and sustainable.