A Data-Driven Scheduling Approach for Integrated Electricity-Hydrogen System Based on Improved DDPG

• Main Authors: Zhao, Yaping, Huang, Jingsi, Xu, Endong, Wang, Jianxiao, Xu, Xiaoyun
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: data-driven algorithm; deep reinforcement learning; hydrogen device; integrated renewable energy system; real-time scheduling; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/gsb-pubs/83; https://archium.ateneo.edu/context/gsb-pubs/article/1082/viewcontent/IET_Renewable_Power_Gen___2023___Zhao___A_data_driven_scheduling_approach_for_integrated_electricity_hydrogen_system_based.pdf
• Institution: Ateneo De Manila University

The involvement of hydrogen energy systems has been recognised as a promising way to mitigate climate problems. As a kind of efficient multi-energy complementary system, the hydropower-photovoltaic-hydrogen (HPH) system could be an ideal approach to combining hydrogen with an installed renewable ene...