Abstract: Renewable Power to ammonia is one of the potential technological routes to enhance carbon emission mitigation and the optimization of energy structure.To mitigate the affects of new energy generation uncertainty on the scheduling plan,a day-ahead and intra-day coordinated optimization method based on the beluga whale optimization algorithm for power to ammonia system is proposed.Firstly,an optimal scheduling model of power to ammonia system was established based on the linear weighting of maximizing the en-gineering profit and minimizing the power abandonment rate.Second,considering the impact of different time scales on the scheduling results,the optimization results are updated by intra-day real-time rolling optimization on the basis of the day-ahead optimization scheduling results.Finally,based on the actual arithmetic example of the Daan area in Jilin Province,the day-ahead and intra-day scheduling optimization of the power to ammonia system are carried out and the beluga whale optimization algorithm is compared with the traditional algorithm.The results show that the profitability of the power to ammonia system is improved after the day-ahead and intra-day coordinated optimization and the power abandonment rate is reduced,thus validating the effectiveness of the proposed