引用本文:齐先军,蒋中琦,张晶晶,华玉婷.考虑碳捕集与综合需求响应互补的综合能源系统优化调度[J].电力自动化设备,2023,43(7):
QI Xianjun,JIANG Zhongqi,ZHANG Jingjing,HUA Yuting.Optimal dispatching of integrated energy system considering complementation of carbon capture and integrated demand response[J].Electric Power Automation Equipment,2023,43(7):
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考虑碳捕集与综合需求响应互补的综合能源系统优化调度
齐先军1, 蒋中琦1, 张晶晶1, 华玉婷2
1.合肥工业大学 新能源利用与节能安徽省重点实验室,安徽 合肥 230009;2.合肥综合性国家科学中心能源研究院(安徽省能源实验室),安徽 合肥 230031
摘要:
能源产业是当前碳排放的主要来源,实现“双碳”目标亟需能源产业提高碳减排力度。基于此背景,提出一种阶梯型碳交易机制下源荷低碳互补的综合能源系统优化调度方法。分析源侧碳捕集与负荷侧综合需求响应的低碳互补机理;引入阶梯型碳交易机制,以综合能源系统运行总成本最小为目标建立源荷低碳互补的优化调度模型;求解模型时,为应对风力发电的不确定性,采用序列运算理论将风电的概率分布离散化,将机会约束转化为确定性约束。通过算例分析验证了所提调度模型在不同碳交易机制下都能优化电热负荷曲线,提高风电消纳水平和减少碳排放量,并且该模型在阶梯型碳交易机制下具有更好的低碳经济性。
关键词:  综合能源系统  碳捕集  综合需求响应  风电消纳  阶梯型碳交易机制
DOI:10.16081/j.epae.202208026
分类号:TM73;TK01
基金项目:合肥综合性国家科学中心能源研究院资助项目(21KZS211);高等学校学科创新引智计划资助项目(BP0719039)
Optimal dispatching of integrated energy system considering complementation of carbon capture and integrated demand response
QI Xianjun1, JIANG Zhongqi1, ZHANG Jingjing1, HUA Yuting2
1.Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China;2.Institute of Energy, Hefei Comprehensive National Science Center, Hefei 230031, China
Abstract:
Energy industry is the main source of the carbon emission at present, it is urgent for the energy industry to reduce its carbon emission to meet the “dual carbon” goal. Based on the background, an optimal dispatching method for the integrated energy system with source-load low-carbon complementation under the ladder-type carbon trading mechanism is proposed. The low-carbon complementary mechanism of source-side carbon capture and load-side integrated demand response is analyzed. The ladder-type carbon trading mechanism is then introduced, and the optimal dispatching model with source-load low-carbon complementation is built, which takes the minimum overall operating cost of integrated energy system as the objective. To deal with the uncertainty of wind power generation when solving the model, the sequence calculation theory is adopted to discrete the probability distribution of wind power, so that the chance constraint is transformed into the deterministic constraint. Case study analysis verifies that the proposed dispatching mo-del can optimize the electric and heating load curves under different carbon trading mechanisms, improve the consumption level of wind power and reduce carbon emissions, and the model has better low-carbon economic characteristics under the ladder-type carbon trading mechanism.
Key words:  integrated energy system  carbon capture  integrated demand response  wind power consumption  ladder-type carbon trading mechanism

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