电子科技2025，Vol.38Issue(5)：68-75,8.DOI:10.16180/j.cnki.issn1007-7820.2025.05.010
基于信息间隙决策理论的碳捕集-电热联合系统低碳调度
Low-Carbon Dispatch of Carbon Capture Integrated Electric and Heating System Based on Information Gap Decision Theory
摘要
Abstract
In order to make full use of source-load resources on both sides to achieve low-carbon scheduling goals,an optimal scheduling method for carbon capture power plants and heat-load cluster electric-thermal com-bined systems based on IGDT(Information Gap Decision Theory)is proposed.A combined heat and power plant model with liquid storage carbon capture device is established on the source side,and its net output characteristics are analyzed.On the load side,a residential heat load aggregation model considering user comfort is proposed.By modeling the uncertainty of wind power prediction error through uncertainty set,a risk-averse IGDT-based optimal scheduling model for electric-thermal combined systems is proposed,which can meet the requirements of system ro-bustness and economy at the same time.The analysis results show that the proposed model can effectively improve the consumption level of wind power and improve the economy of system operation.关键词
碳捕集/热负荷集群/信息间隙决策理论/电热联合系统/不确定性/优化调度/低碳/鲁棒优化Key words
carbon capture/temperature-controlled load cluster/information gap decision theory/integrated e-lectric and heating system/uncertainty/optimal dispatch/low carbon/robust optimization分类
计算机与自动化引用本文复制引用
范明,胡程平,何国羽,施云辉..基于信息间隙决策理论的碳捕集-电热联合系统低碳调度[J].电子科技,2025,38(5):68-75,8.基金项目
国家自然科学基金(51877190) National Natural Science Foundation of China(51877190) （51877190）
