Cooperative operation optimization of offshore wind power and hybrid electric-hydrogen energy storage

Under the "dual carbon" target, offshore wind power (OWP) is continuously developing, which brings about the challenges of wind power consumption and dealing with the uncertainty of power output. To address this issue, a hydrogen storage system containing hydrogen storage caverns and an electro-hydrogen hybrid energy storage system with retired power batteries are constructed. A collaborative optimization operation model of OWP and electro-hydrogen hybrid energy storage is studied by establishing a distributionally robust optimization model of wind power output fuzzy sets based on data-driven Wasserstein distance. Finally, the impact of different prediction errors on system operation and operating costs is studied through case studies, verifying the effectiveness of electro-hydrogen hybrid energy storage in wind power consumption and reducing real-time power deviation.