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author:

Le, S. (Le, S..) [1] | Zhang, Y. (Zhang, Y..) [2] | Chen, Z. (Chen, Z..) [3]

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Scopus

Abstract:

Ammonia is a more stable energy carrier than hydrogen. The power-to-hydrogen ammonia synthesis technology route is important in realizing the effective utilization and safe storage of electric energy. Because of the complexity of the ammonia synthesis process and the significant differences in energy characteristics among electricity, hydrogen, and ammonia, a multi-agent hybrid time-scale scheduling method for an electricity-hydrogen-ammonia coupled system considering energy distribution is proposed. Firstly, an electricity-hydrogen-ammonia closed-loop coupling model for electrolytic hydrogen production and ammonia synthesis is constructed, and energy distribution is carried out for hydrogen production, air separation for nitrogen production, and the Haber-Bosch ammonia synthesis reaction in the ammonia synthesis process. Secondly, considering the differences in the response characteristics of electricity, hydrogen, and ammonia energy flows to scheduling instructions, a hybrid time-scale optimal scheduling framework is established. A multi-agent collaborative optimization model of the power grid, hydrogen network, and ammonia plant is proposed in the day-ahead stage. The KKT condition is used to transform it into a single-layer problem for solution. In the intraday stage, fast-layer, medium-speed layer, and slow-layer correction models for different agents are established, respectively, according to the differences of energy flow characteristics, and the above models are solved from slow to fast layer. Finally, simulation analysis is carried out through an example to verify the effectiveness of the proposed scheduling method. © 2025 Power System Technology Press. All rights reserved.

Keyword:

electrolytic hydrogen production for ammonia synthesis energy allocation mixed time-scale multi-agent rolling optimization scheduling

Community:

  • [ 1 ] [Le S.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Zhang Y.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Chen Z.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China

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Source :

Power System Technology

ISSN: 1000-3673

Year: 2025

Issue: 8

Volume: 49

Page: 3188-3198

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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