Physically-bounded distributionally robust chance-constrained dispatch approach for power system with renewable power-to-ammonia
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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Applied Energy, Volume 402
Abstract
Renewable 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.Description
Publisher Copyright: © 2025 Elsevier Ltd
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Wu, T, Jiang, Y, Cui, S, Li, Z, Wang, S & Zhai, J 2026, 'Physically-bounded distributionally robust chance-constrained dispatch approach for power system with renewable power-to-ammonia', Applied Energy, vol. 402, 126972. https://doi.org/10.1016/j.apenergy.2025.126972