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考虑需求响应的电转氨综合能源系统优化调度

段俊东 李秀琦

广东电力2025,Vol.38Issue(9):23-35,13.
广东电力2025,Vol.38Issue(9):23-35,13.DOI:10.3969/j.issn.1007-290X.2025.09.003

考虑需求响应的电转氨综合能源系统优化调度

Optimal Scheduling of Power-to-ammonia Integrated Energy Systems Considering Demand Response

段俊东 1李秀琦2

作者信息

  • 1. 河南理工大学电气工程与自动化学院,河南焦作 454000||河南省煤矿装备智能检测与控制重点实验室,河南焦作 454003
  • 2. 河南理工大学电气工程与自动化学院,河南焦作 454000
  • 折叠

摘要

Abstract

To enhance the low-carbon performance and economic efficiency of the industrial park integrated energy systems,this paper proposes an optimal scheduling model for a power-to-ammonia integrated energy system considering demand response.Firstly,it introduces a two-stage power-to-ammonia process based on power-to-gas methane production,utilizing surplus energy to produce ammonia.To further reduce system carbon emissions and operational costs,the produced ammonia reacts with carbon dioxide to synthesize urea.Secondly,demand response is categorized into price-based(using a price elasticity matrix)and substitution-based(through electricity-heat conversion)types according to load-side characteristics,forming a demand response mechanism.Finally,the paper applies the tiered carbon trading mechanism to constrain system carbon emissions and establishes an objective function to minimize the total costs,including gas procurement cost,carbon trading cost,coal consumption cost,wind curtailment cost,operation and maintenance cost and urea revenue.Multi-scenario comparative analysis demonstrate that the proposed system,through power-to-ammonia and urea synthesis,not only ensures economic benefits but also significantly reduces carbon emissions.Additionally,demand response effectively lowers energy procurement costs by adjusting supply-demand relationships.

关键词

综合能源系统/电转氨/碳捕集/需求响应/阶梯碳交易

Key words

integrated energy system/power to ammonia/carbon capture/demand response/tiered carbon trading

分类

信息技术与安全科学

引用本文复制引用

段俊东,李秀琦..考虑需求响应的电转氨综合能源系统优化调度[J].广东电力,2025,38(9):23-35,13.

基金项目

国家自然科学基金项目(61703144) (61703144)

广东电力

OA北大核心

1007-290X

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