考虑氨能多元利用与混合储能的综合能源系统双层优化调度

安源; 李洋; 赵亭玉; 冯昊彤

doi:doi:10.19912/j.0254-0096.tynxb.2024-1542

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考虑氨能多元利用与混合储能的综合能源系统双层优化调度

更新时间：2025-12-02

- 考虑氨能多元利用与混合储能的综合能源系统双层优化调度
- Vol. 46, Issue 6, Pages: 89-98(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1542
  CLC： TK91
- Published Online：07 July 2025，
  
  Published：2025
- 稿件说明：
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安源, 李洋, 赵亭玉, et al. 考虑氨能多元利用与混合储能的综合能源系统双层优化调度[J]. 2025, 46(6): 89-98.
DOI：

安源, 李洋, 赵亭玉, et al. 考虑氨能多元利用与混合储能的综合能源系统双层优化调度[J]. 2025, 46(6): 89-98. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1542.

摘要

为了最大化消纳源侧可再生能源及更好地满足荷侧负荷需求

提出关于电制氨多元利用环节和混合储能装置容量配置的双层优化调度策略。首先

在上层根据自适应粒子群（APSO）算法

以储能容量为决策变量

实现对储能装置最小运行成本;然后

在下层中为提高系统的灵活性

引入考虑灵活热电比的燃气轮机组和氨燃料电池

解决电热出力调节能力不足的问题

并为减少系统发电成本

考虑分时电、气价

建立需求响应机制、阶梯型碳交易制度

以系统总运行成本最小为目标确定各机组最优出力

采用CPLEX求解器对其求解。最后

通过对比不同方案

验证所提方法的碳排放量、运行成本和风光消纳率达到最优。

Abstract

To maximize the consumption of renewable energy on the source side and better meet the demand on the load side

a bi-level optimal scheduling strategy is proposed for the multi-use pathways of power-to-ammonia and the capacity allocation of hybrid energy storage systems. In the upper level

the adaptive particle swarm optimization （APSO） algorithm is used to determine the optimal storage capacities with the objective of minimizing operational costs. In the lower level

to enhance system flexibility

gas turbine units with flexible heat-to-power ratios and ammonia fuel cells are introduced to address the limitation of adjustable power-to-heat output. Additionally

to reduce power generation costs

time-of-use electricity and gas prices

a demand response mechanism

and a tiered carbon trading scheme are incorporated. The objective is to minimize total system operating cost

and the model is solved using the CPLEX solver. Finally

comparative analysis of different scenarios demonstrates the proposed method's effectiveness in reducing carbon emissions

lowering operating costs

and improving wind and solar energy utilization.

关键词

Keywords

references

张鹏, 吴昊, 张佳丽, 等. 中国风光大型基地与氢储能高比例耦合发展研究: 以“三北” 地区为例[J]. 水力发电, 2023, 49(11): 16-23.

袁文腾, 陈亮, 王春波, 等. 基于氨储能技术的电转氨耦合风-光-火综合能源系统双层优化调度[J]. 中国电机工程学报, 2023, 43(18): 6992-7003.

MEWAFY A, ISMAEL I, KADDAH S,et al.Optimization design of green hydrogen ammonia multi-purpose hybrid microgrid[J]. Renewable and sustainable energy review,2024, 192: 114174.

JI M M, ZHANG W, XU Y F, et al.Optimisation of multi-period renewable energy systems with hydrogen and battery energy storage: a P-graph approach[J]. Energy conversion and management, 2023, 281: 116826.

ALONSO A M, COSTA D, MESSAGIE M, et al.Techno-economic assessment on hybrid energy storage systems comprising hydrogen and batteries: a case study in Belgium[J]. International journal of hydrogen energy, 2024, 52: 1124-1135.

WEN D, AZIZ M.Flexible operation strategy of an integrated renewable multi-generation system for electricity, hydrogen, ammonia, and heating[J]. Energy conversion and management, 2022, 253: 115166.

夏鑫, 蔺建民, 李妍, 等. 氨混合燃料体系的性能研究现状[J]. 化工进展, 2022, 41(5): 2332-2339.

EDMONDS L, PFROMM P, AMANOR-BOADU V, et al.Green ammonia production-enabled demand flexibility in agricultural community microgrids with distributed renewables[J]. Sustainable energy, grids and networks, 2022, 31: 100736.

WANG H C, PALYS M, DAOUTIDIS P, et al.Optimal design of sustainable ammonia-based food-energy-water systems with nitrogen management[J]. ACS sustainable chemistry & engineering, 2021, 9(7): 2816-2834.

于晓凤, 周恩泽, 丁雪峰, 等. 基于TRNSYS的污水厂沼气热电联产系统优化分析和性能评价[J]. 太阳能学报, 2021, 42(10): 324-330.

PALYS M J, KUZNETSOV A, TALLAKSEN J, et al.A novel system for ammonia-based sustainable energy and agriculture: concept and design optimization[J]. Chemical engineering and processing-process intensification, 2019, 140: 11-21.

PALYS M J, DAOUTIDIS P.Using hydrogen and ammonia for renewable energy storage: a geographically comprehensive techno-economic study[J]. Computers & chemical engineering, 2020, 136: 106785.

GONG C Y, XU Y H, CAI S S, et al.Comparative study on thermodynamic analysis of solid oxide fuel cells supplied with methanol or ammonia[J]. International journal of hydrogen energy, 2024, 50: 1293-1301.

陈登勇, 刘方, 刘帅. 基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度[J]. 电网技术, 2022, 46(6): 2042-2054.

刘秋华, 王明康,杨圣城. 基于全寿命周期内经济收益最大化的退役电池储能容量配置方法研究[J]. 太阳能学报, 2024, 45(7): 143-152.

周鑫, 韩肖清, 李伊竹林, 等. 基于可调热电比和两阶段阶梯式碳交易的多主体综合能源系统低碳经济调度策略[J]. 电力系统及其自动化学报, 2023, 35(11): 10-21.

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