基于信息间隙决策理论的碳捕集-电热联合系统低碳调度

doi:10.16180/j.cnki.issn1007-7820.2025.05.010

Abstract

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 combined 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 robustness 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.

Key words: carbon capture, temperature-controlled load cluster, information gap decision theory, integrated electric and heating system, uncertainty, optimal dispatch, low carbon, robust optimization

CLC Number:

TP202

FAN Ming, HU Chengping, HE Guoyu, SHI Yunhui. Low-Carbon Dispatch of Carbon Capture Integrated Electric and Heating System Based on Information Gap Decision Theory[J].Electronic Science and Technology, 2025, 38(5): 68-75.

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用户	热容 /10⁹J·℃^-1	热导 /10⁵W·℃^-1	室温下限 /℃	室温上限 /℃
HD₁	50.256	15.079	20	24
HD₂	45.294	16.586	20	24
HD₃	38.782	14.626	20	24
HD₄	42.193	12.440	20	24

项目	算例1	算例2	算例3
总成本/元	731 465	552 466	527 825
燃料成本/元	168 900	170 390	179 760
碳排放成本/元	377 265	240 976	228 765
弃风惩罚/元	147 800	128 400	119 300
切负荷惩罚/元	37 500	12 700	0
最高室温/℃	22	24	24
最低室温/℃	22	20	20

Low-Carbon Dispatch of Carbon Capture Integrated Electric and Heating System Based on Information Gap Decision Theory

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