化工过程电气化和可再生能源整合在迈向新能源道路上相互促进发展。然而,如果仅通过储能来解决可再生能源的间歇性和可变问题,则会造成高昂的成本。考虑到大规模化学过程通常倾向于在恒定负载下稳定运行,基于多稳态柔性工艺概念,提出了多稳态柔性调度优化方法。以风光可再生能源电解水制氢合成氨系统为例,对电氢氨系统各工段进行分析建模,针对电力和化工侧中不同权重的优化目标和约束条件,进行均衡性的多稳态柔性调度优化计算。结果表明,该方法的场景适用性强、计算效率高,多稳态柔性调度方法相比于柔性调度方法的负荷波动次数均降低50%,综合经济效益提高29.39%,可为大规模绿氨系统适应风光波动条件提供一种安全经济可行的调度优化途径。

Electrification of chemical processes and renewable energy integration promote each other on the road to new energy.However,if only energy storage is used to solve the intermittent and variable problems of renewable energy,it will cause high costs.Considering that large-scale chemical processes usually tend to operate stably under constant load,a multi-stable flexible schedulingoptimization method is proposed based on the concept of multi-stable flexible process. Taking the hydrogen and ammonia synthesissystem of wind and solar renewable energy electrolysis water as an example,the analysis and modeling of each section of the electro-hydrogen ammonia system are carried out. Aiming at the optimization objectives and constraints of different weights in the power andchemical side,the balanced multi-steady-state flexible scheduling optimization calculation is carried out. The results show that the methodhas strong scene applicability and high computational efficiency. Compared with the flexible scheduling method,the load fluctuation timesof the multi-steady-state flexible scheduling method are reduced by 50 %,and the comprehensive economic benefit is increased by 29.39%. It can provide a safe,economical and feasible scheduling optimization way for large-scale green ammonia system to adapt to wind andsolar fluctuation conditions.