4.7 Article

Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response

期刊

ENERGY
卷 283, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2023.129117

关键词

Integrated energy system; Operation optimization; Demand response; Carbon trading; Scenario analysis

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This study proposes a collaborative optimization model for integrated energy systems (IES) and conducts empirical research using ladder carbon trading (LCT) mechanism and multi-energy demand response (MDR). The results show that the introduction of these two market mechanisms can significantly reduce carbon emissions, optimize energy use curves, and save operating costs, enhancing the green and economic performance of the IES.
Integrated energy systems (IES) have been applied to raise the efficiency of energy utilization and facilitate the sustainable transition of society and energy system. To further explore the multi-energy coupling capacity and carbon reduction potential of the IESs, this study proposes a cooling-heat-electricity-gas collaborative optimization model of IES given ladder carbon trading (LCT) mechanism and multi-energy demand response (MDR). To begin with, the MDR model is developed following the demand characteristics of the system. Given the incentive effect of the LCT on the low-carbon performance of the IESs, the multi-energy coupling low-carbon operation optimization model is proposed. By constructing four application scenarios, the proposed model is practiced in investigating the performance of IES across various market mechanisms. The simulation findings indicate the introduction of the LCT cuts the carbon emissions of the IES by approximately 6.7%, and the MDR mechanism effectively optimizes the energy use curve by regulating user behavior. The combined consideration of the two market mechanisms saves around 9.21% of the IES's operation cost and strengthens the performance of IES towards the green and economic operation. The carbon market requires rational prices to inspire IES. The proposed model offers a significant benchmark for the IES's green performance optimization.

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