Design, Control and Optimization of Green Hydrogen Integrated Energy Network System

Chair:	Co-Chair:
Yunfeng Peng Shanghai Jiao Tong University, China	Longze Wang North China Electric Power University, China

Key Words: Green Hydrogen System, Industrial Control Network, Power Control, Energy Management, System Modeling

Information: Under the background of global decarbonization, as the main energy carrier, comprehensive energy system of green hydrogen has been paid widespread attention. Due to random change of weather, the output of photovoltaic and wind power system show significant randomness. Grid regulation, hydrogen energy vehicle scheduling and changing hydrogen supply demand of chemical plants make the problem of untimely and unreasonable hydrogen absorption increasingly prominent. Therefore, the imbalance on the supply and demand side leads to the low energy efficiency of the system. Digital modeling technology is considered to be an effective tool to guide system management. The construction of information perception, transmission and decision-making network of green hydrogen integrated energy network system based on digital model is expected to improve energy efficiency. Through the power control of hydrogen-to-electricity conversion, the management of multi-energy flow in the park and optimal scheduling of hydrogen industry chain, the maximum consumption of power generation can be realized, as well as reliable production, manufacturing, operation and maintenance. This topic will focus on the application of digital modeling and intelligent control methods to improve the efficiency of green hydrogen integrated energy network system.

Topics of interest include but are not limited to:

• Digital modeling of green hydrogen integrated energy network system
• Information perception, communication, control and calculation of green hydrogen integrated energy network system
• Power control of hydrogen-electric integration
• Management strategy of hydrogen, electricity and thermal energy in zero-carbon park
• Optimal scheduling of hydrogen production, storage, transport and hydrogen injection

Submission Deadline: April 28, 2026 (the first round)