Optimal Scheduling of Electricity- Hydrogen -Ammonia System Based on Information Gap Decision Theory

DOI

10.2991/978-94-6239-783-5_4How to use a DOI?

Keywords

Optimal Scheduling; Power to Hydrogen; Ammonia

Abstract

As the installed capacity of renewable energy continues to expand, its volatility and uncertainty pose challenges to power system operation. Utilizing surplus wind and solar power for electrolytic hydrogen production and subsequent ammonia synthesis can further enhance the integration of renewable energy. This paper establishes an Electricity-Hydrogen-Ammonia Integrated Energy System (EHA-IES) model and aims to minimize total operational cost. Information Gap Decision Theory (IGDT) is employed to analyze the impact of wind and solar uncertainty on scheduling outcomes under different risk preferences, offering comprehensive strategy references for decision-makers.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruohang Cui
AU  - Qingzhu Wan
PY  - 2026
DA  - 2026/09/30
TI  - Optimal Scheduling of Electricity- Hydrogen -Ammonia System Based on Information Gap Decision Theory
BT  - Proceedings of the 2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)
PB  - Atlantis Press
SP  - 19
EP  - 27
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-783-5_4
DO  - 10.2991/978-94-6239-783-5_4
ID  - Cui2026
ER  -