Optimal Daily Scheduling of Hybrid Wind-Hydrogen Storage using Particle Swarm Optimization

This paper proposes a particle swarm optimization-based optimal daily scheduling (PSO-ODS) for hybrid wind-hydrogen storage (HWHS). Minimizing daily energy loss (DL) is the main goal of the presented method. The approaches of PSO-ODS for HWHS were inspected with the modified IEEE 33-bus system with HWHS integration using load and wind profiles of Thailand. The studies are separated into two cases, which are the wind-integrated system with and without hydrogen storage optimal scheduling. The proposed approach can effectively decrease DL for the HWHS integrated distribution system, as indicated by the simulation results.