基于粒子群算法的并网型可再生能源电制氢合成氨系统优化调度

乔梁; 陈越; 胡鹏龙; 王健; 王慧圣; 崔若航

doi:doi:10.19912/j.0254-0096.tynxb.2024-1515

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基于粒子群算法的并网型可再生能源电制氢合成氨系统优化调度

更新时间：2026-02-06

- 基于粒子群算法的并网型可再生能源电制氢合成氨系统优化调度
- Vol. 47, Issue 1, Pages: 11-20(2026)
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1515
  CLC： TM73
- Online First：05 February 2026，
  
  Published：05 February 2026
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乔梁, 陈越, 胡鹏龙, et al. 基于粒子群算法的并网型可再生能源电制氢合成氨系统优化调度[J]. 2026, 47(1): 11-20.
DOI：

乔梁, 陈越, 胡鹏龙, et al. 基于粒子群算法的并网型可再生能源电制氢合成氨系统优化调度[J]. 2026, 47(1): 11-20. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1515.

摘要

构建基于粒子群算法的并网型电氢氨系统的优化调度模型

模拟运行并网情况下风光制氢合成氨的过程。提出一种保障制氢合成氨负荷需求的储能设备运行策略及电网交互策略

通过在每个时刻比较新能源预测出力和制氢氨负荷的大小

首先制定储能设备的运行策略

之后在储能调整的基础上制定电网交互策略以满足制氢氨负荷的需求。在满足电氢氨系统实时功率平衡、电解槽启停特性以及储能容量限制等条件下

得到电氢氨系统在各时段内的运行数据

验证所提模型及策略的有效性。

Abstract

In this paper

an optimal scheduling model of grid-connected electricity-hydrogen-ammonia system based on particle swarm optimization algorithm is constructed to simulate the process of power-to-ammonia under the operation of grid-connected condition. An energy storage device operation strategy and a grid interaction strategy are proposed to guarantee the load demand for hydrogen production and ammonia synthesis. By comparing the new energy forecast output and the load of power-to-ammonia at each moment

the operation strategy of energy storage equipment is first formulated

and then the grid interaction strategy is formulated on the basis of energy storage adjustment to meet the demand of power-to-ammonia load. Under the conditions of satisfying the real-time power balance of the system

the start-up/shut-down characteristics of the electrolyzer

and the energy storage capacity constraint

the operation data of the electricity-hydrogen-ammonia system are obtained for each time period to validate the effectiveness of the proposed model and strategy. electricity-hydrogen-ammonia system are obtained in each time period to validate the effectiveness of the proposed model and strategy.

关键词

Keywords

references

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