电力系统及其自动化学报2026，Vol.38Issue(4)：63-73,85,12.DOI:10.19635/j.cnki.csu-epsa.001652
考虑超碳需求响应和电解熔融盐技术的综合能源系统优化调度
Optimal Scheduling of Integrated Energy System Considering Ultra-carbon Demand Response and Electrolytic Molten Carbonate Technology
摘要
Abstract
To cope with the problem of climate change and promote the realization of carbon peaking and carbon neutral-ity goals,an optimal scheduling model of integrated energy system was established based on the advantages of the elec-trolytic molten carbonate technology for carbon reduction and oxygen production,in which the electrolytic molten car-bonate,electricity-to-gas and oxygen-enriched combustion carbon capture were coupled and the ultra-carbon demand re-sponse was taken into account.First,according to the principle of electrolytic molten carbonate technology,the electro-lytic cell equipment was combined to jointly supply oxygen to the oxygen-enriched combustion carbon capture unit.Sec-ond,a collaborative framework of electrolytic molten carbonate,oxygen-enriched combustion carbon capture and power-to-gas was constructed,and the internal mechanism of low-carbon characteristics under the framework was further ana-lyzed.Third,the optimal load curve of ultra-carbon demand response was introduced to achieve in-depth carbon reduc-tion in both the source and load.Finally,the effect of the proposed model on oxygen-enriched combustion of coal power units was analyzed to verify the effect of low-carbon economy.Results show that the proposed model can effectively im-prove the economy and low-carbon performance of the system,and it can also effectively stabilize the output from coal power units under the influence of fluctuations in the carbon trading base price and thermoelectric ratio.关键词
电解熔融盐/富氧燃烧/超碳需求响应/综合能源系统Key words
electrolytic molten carbonate/oxygen-enriched combustion/ultra-carbon demand response/integrated en-ergy system分类
信息技术与安全科学引用本文复制引用
王守文,李志明,郭蕊,陈佳俊,叶金根,李国祥..考虑超碳需求响应和电解熔融盐技术的综合能源系统优化调度[J].电力系统及其自动化学报,2026,38(4):63-73,85,12.基金项目
国家自然科学基金面上资助项目(51877122). 湖北省人民政府智力成果采购资助项目(2022HB-ZLCG-06). （51877122）
