Day-Ahead Optimal Scheduling of Integrated Energy System Considering Carbon Emission Target Constraints and Demand Side Response

Yuhao DING , Ganyun LÜ , Yongwei LIU , Xinyin ZHANG , Jun LI

›› 2022, Vol. 16 ›› Issue (8) : 1 -11.

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›› 2022, Vol. 16 ›› Issue (8) : 1 -11. DOI: 10.13648/j.cnki.issn1674-0629.2022.08.001
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Day-Ahead Optimal Scheduling of Integrated Energy System Considering Carbon Emission Target Constraints and Demand Side Response

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Abstract

The integrated energy system (IES) is developing rapidly. Under the background of “dual carbon” strategy, reducing carbon emission has become a research focus. In this paper, a day-ahead optimal scheduling of IES is presented with comprehensive considering of carbon emission target, constraints and demand response (DR). Firstly, the architecture and strategy of IES based on carbon information flow are analyzed. Secondly, an integrated DR model including electricity, gas, heat and cooling is established by using the transfer and substitution characteristics of demand-side load, considering multi-energy complementarity. Finally, with the objective of minimizing economic cost and carbon emissions, a day-ahead optimal scheduling model of IES considering carbon emission target, constraints and DR is established by adding carbon emission constraints to the existing scheduling constraints. Simulation results show that the method can effectively reduce the economic cost and carbon emissions of the system, improve load distribution in time, and provide an effective means for low-carbon power grid scheduling.

Keywords

integrated energy system / optimal scheduling / carbon constraint / carbon emissions / integrated demand response

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Yuhao DING,Ganyun LÜ,Yongwei LIU,Xinyin ZHANG,Jun LI. Day-Ahead Optimal Scheduling of Integrated Energy System Considering Carbon Emission Target Constraints and Demand Side Response. 2022, 16(8): 1-11 DOI:10.13648/j.cnki.issn1674-0629.2022.08.001

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Funding

the National Natural Science Foundation of China(51577086)

Jiangsu Six Talent Peaks Innovation Team Project(TD-XNY004)

Major Scientific Research Projects in Colleges and Universities in Jiangsu Province(19KJA510012)

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