The power-to-ammonia (P2A) technology possesses the potential to surmount the challenges posed by the variability

intermittency

and peak-shifting nature of renewable energy generation

which represents a pivotal strategy for facilitating the low-carbon and clean transformation of the energy system. To address the issues of integration challenges associated with a high proportion of wind and solar power

this paper proposes a model for optimizing the operation of a wind and solar power-based hydrogen production and ammonia synthesis system. This model encompasses electrolytic hydrogen production

ammonia synthesis

gas hydrogen blending

and coal-ammonia combustion technologies. By employing the sequential operations theory

the joint output probability of wind and solar power is calculated while establishing probability reserve constraints in the form of an opportunity constraint to balance expected renewable energy outputs with actual output deviations. To ensure supply-demand equilibrium

a system optimization model that considers integrated demand response and real-time energy price mechanisms is developed. Simulation and comparative analysis across different scenarios demonstrate that the proposed method can be adopted to reduce carbon emissions by 5.82% while achieving 98.3% absorption of wind and photovoltaic power. The system is capable of maintaining safe and reliable operation under uncertainty; when the hydrogen blending ratio of the gas turbine reaches 16%

the system operates in its optimal state.