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

Meng Yang and Yisheng Liu

Energy, 2023, vol. 283, issue C

Abstract: 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.

Keywords: Integrated energy system; Operation optimization; Demand response; Carbon trading; Scenario analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025112

DOI: 10.1016/j.energy.2023.129117

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