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Physically-bounded distributionally robust chance-constrained dispatch approach for power system with renewable power-to-ammonia

Lookup NU author(s): Dr Sheng WangORCiD

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Abstract

© 2025 Elsevier LtdRenewable power-to-ammonia (RePtA) has gained significant attention in recent years, as green ammonia is increasingly acknowledged as a sustainable, zero-carbon fuel. Meanwhile, distributionally robust optimization has become a popular method to address uncertainties in energy systems. However, the general reformulation approach for the distributionally robust model may lead to either a suboptimal solution or one that is excessively conservative. In this context, this paper presents a physically-bounded distributionally robust chance-constrained (DRCC) dispatch approach with the exact reformulation for power systems with RePtA. First, a comprehensive RePtA model incorporating the production, storage, and utilization of green hydrogen and green ammonia is embedded in the electro–hydrogen–ammonia coupled system. Then, an improved metric-based ambiguity set is introduced by enforcing physical bounds on the uncertainty of wind power while preserving the exactness, resulting in a bilinear optimization problem. Finally, an iterative alternating minimization algorithm is specifically designed to decrease solution conservatism by adjusting the resulting physically-bounded exact bilinear optimization model. Numerical results demonstrate the effectiveness of the proposed method.

Publication metadata

Author(s): Wu T, Jiang Y, Cui S, Li Z, Wang S, Zhai J

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2026

Volume: 402

Issue: Part B

Print publication date: 01/01/2026

Online publication date: 07/11/2025

Acceptance date: 22/10/2025

ISSN (print): 0306-2619

ISSN (electronic): 1872-9118

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.apenergy.2025.126972

DOI: 10.1016/j.apenergy.2025.126972

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