中国电力2026，Vol.59Issue(3)：48-63,16.DOI:10.11930/j.issn.1004-9649.202507026
考虑富氧燃烧技术与需求响应的工业园区综合能源系统优化调度
Optimal scheduling of integrated energy system in industrial parks considering oxy-fuel combustion technology and demand response
摘要
Abstract
Under the background of carbon peaking and carbon neutrality,the integrated energy system(IES)in industrial parks has attracted widespread attention due to its high flexibility and low carbon emissions.To further reduce carbon emissions of the industrial park IES and improve its economic benefits,we develops an optimal scheduling model for the industrial park IES,considering the cooperation between oxy-fuel combustion capture technology and power-to-hydrogen(P2H)technology,and the demand response mechanism.Firstly,the model improves system flexibility and reduces carbon emissions of thermal power units by retrofitting them with oxy-fuel combustion.Secondly,the introduction of cooperation between P2H and oxy-fuel combustion power plants not only increases the absorption capacity of wind and solar energy but also reduces the oxygen supply pressure of oxy-fuel combustion power plants.Then,the hydrogen blending equipment reduces energy loss during the energy conversion process,realizing the high-value utilization of hydrogen.Finally,the introduction of demand response further improves the flexibility of the IES and reduces carbon emissions,based on which a minimum-cost optimal scheduling model for the industrial park IES is established.Through a case study,it is found that the actual carbon emissions are 29.60%lower than the carbon quota,verifying the effectiveness of the proposed model.Sensitivity analysis is conducted to examine the impact of key variables on the industrial park IES.关键词
综合能源系统/富氧燃烧电厂/激励型需求响应/热效率变化/P2H合作机制Key words
integrated energy system/oxy-fuel combustion power plant/incentive-based demand response/thermal eff-iciency variation/power-to-hydrogen cooperation mechanism引用本文复制引用
覃育茗,祝云..考虑富氧燃烧技术与需求响应的工业园区综合能源系统优化调度[J].中国电力,2026,59(3):48-63,16.基金项目
广西创新驱动发展专项资金资助项目(AA19254034). This work is supported by Guangxi Special Fund for Innovation-driven Development(No.AA19254034). （AA19254034）
