Optimization and Scheduling of Integrated Energy Systems with Hydrogen-electricity Coupling Based on PKO Algorithm

[Introduction] In the context of the "30·60" carbon peak and neutrality targets, this paper’s purpose is to address the problem of poor power balance performance in integrated energy systems caused by the uncertainty and discontinuity of renewable energy. [Method] This paper constructed a hydrogen-electricity coupling link that included hydrogen production from electrolyzed water coupled with gas hydrogen blending technology and hydrogen storage, established a punishment mechanism for wind and solar curtailment, and constructed an optimization and scheduling model for integrated energy system that included hydrogen-electricity coupling link. To address the problems of getting stuck in local optima and slow convergence speed during the solution process, the Pied Kingfisher Optimizer (PKO) algorithm was introduced. [Result] The model aims to minimize the total system cost as the objective function, and solves for the optimal scheduling results of the output of each energy network unit; Compared with traditional optimization algorithms, PKO has a faster convergence speed and is better able to achieve the goal of global optimal solution.[Conclusion] Case analysis indicates that using the model and method proposed in this paper reduces the total cost by 15.04% and 6.99% respectively compared to other schemes, effectively improving the utilization level of new energy in the integrated energy system, reducing the total system cost, and making it more economical.