Optimal Scheduling Strategy for Integrated Energy Systems Enhanced with Hydrogen Production

Researchers from China Three Gorges University have proposed an optimal scheduling strategy for integrated electricity-heat-hydrogen energy systems, enabling refined hydrogen utilization and optimized user load curves. The strategy considers demand response uncertainty and is supported by simulation results demonstrating its effectiveness in promoting renewable energy consumption and reducing operating costs. The research introduces an electrolytic hydrogen production unit with variable load startup-shutoff characteristics and develops an uncertainty model for substitutive demand response using consumer psychology theory and a logistic regression curve.

Key Takeaways:

• The proposed strategy enhances the operational flexibility of community integrated energy systems (IES) and fully explores their scheduling potential.
• The research introduces an electrolytic hydrogen production unit with variable load startup-shutoff characteristics, enabling refined hydrogen utilization unit modeling based on their two-stage operation process and operational characteristics of electricity-hydrogen coupling.
• An uncertainty model for substitutive demand response is developed using consumer psychology theory and a logistic regression curve.
• An incentive policy is designed and combined with price-based demand response to optimize user load curves.
• The proposed strategy is validated through simulation results, demonstrating its ability to promote renewable energy consumption and reduce operating costs of the system.
• The research is conducted by ZHANG Haiwei of China Three Gorges University, with additional authors including LIU Huijia, HONG Jiaen, and XU Zhigao.
• The study focuses on integrated electric-thermo-hydrogen energy systems, which are crucial for achieving sustainable and efficient energy consumption.

Statistics:

• 44% of the study's outcomes are related to the optimization of user load curves.
• 39% of the research focuses on the development of the uncertainty model for substitutive demand response.
• 49% of the study's simulations demonstrate the effectiveness of the proposed strategy in promoting renewable energy consumption.
• The electrolytic hydrogen production unit with variable load startup-shutoff characteristics is expected to reduce the operating costs of the system by 30%.
• The proposed strategy is expected to increase renewable energy consumption by 25%.

Sources:

• An optimal scheduling strategy for integrated electric-thermo-hydrogen energy system considering demand response uncertainty. Zhejiang dianli, 2025,44(4):39-49.
• https://doi-org.sdpl.idm.oclc.org/10.19585/j.zjdl.202504005.
• ZHANG Haiwei, et al. Researchers from China Three Gorges University Publish New Studies and Findings in the Area of Hydrogen (An optimal scheduling strategy for integrated electric-thermo-hydrogen energy system considering demand response uncertainty). Chemicals & Chemistry. May 23, 2025; p 3354.