Capacity-Scheduling Optimization of Grid-connected Wind-Solar Hydrogen Production and Ammonia Synthesis System Under Peak-to-Valley Electricity Price Scenarios

ZHANG Runzhi; ZHOU Jiahui; XU Gang; ZHANG Wentao; WANG Luojia

doi:10.19805/j.cnki.jcspe.2025.230717

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Capacity-Scheduling Optimization of Grid-connected Wind-Solar Hydrogen Production and Ammonia Synthesis System Under Peak-to-Valley Electricity Price Scenarios

更新时间：2026-02-02

- Capacity-Scheduling Optimization of Grid-connected Wind-Solar Hydrogen Production and Ammonia Synthesis System Under Peak-to-Valley Electricity Price Scenarios
- Chinese Journal of Power Engineering Vol. 45, Issue 3, Pages: 443-451(2025)
- 作者机构：
  
  1. 华北电力大学能源动力与机械工程学院,北京,102206
  2. 国网北京昌平供电公司,北京,102200
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.230717
  CLC： TQ116.2;TQ113.2
- Published Online：15 March 2025，
  
  Published：2025
- 稿件说明：
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张润之,周家辉,徐钢,张文韬,王珞珈. 峰谷电价场景下并网型风光制氢合成氨系统的容量-调度优化分析动力工程学报, 2025, 45(3): 443-451 https://doi.

org/10.19805/j.cnki.jcspe.2025.230717
张润之,周家辉,徐钢,张文韬,王珞珈. 峰谷电价场景下并网型风光制氢合成氨系统的容量-调度优化分析动力工程学报, 2025, 45(3): 443-451 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230717.

org/10.19805/j.cnki.jcspe.2025.230717 DOI：

摘要

为解决新能源消纳和氢能源存储、运输、利用难题

提出一种并网型风光制氢合成氨系统。基于全年风光真实数据

以系统总收益最大为优化目标构建了系统的数学模型

并通过混合整数线性规划算法

确定系统最佳设备容量与运行调度方案。结果表明:该新型系统能够依据风光资源及电价的变化

合理切换工作状态

实现系统能量平衡;在满足各项约束条件下

可再生能源利用率提高

系统制氨的平准化成本降低。

Abstract

To address issues of new energy accommodation and hydrogen energy storage

transportation and utilization

a grid-connected wind-solar hydrogen production and ammonia synthesis system was proposed. Based on the real data of wind and solar power throughout a year

a mathematical model of the system was developed with the optimization goal of maximizing the total system revenue. The optimal equipment capacity and operation scheduling plan of the system were determined with a mixed integer linear programming algorithm. Results show that the proposed new system can switch working states reasonably and achieve energy balance according to changes in wind and solar resources and electricity prices. Under the condition of satisfying various constraints

the utilization rate of renewable energy is improved

and the levelized cost of system ammonia production is reduced.

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references

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