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

需求响应 水准点(测量) 激励 环境经济学 能源市场 能量(信号处理) 计算机科学 碳纤维 工艺工程 经济 微观经济学 工程类 电气工程 统计 数学 算法 复合数 大地测量学 地理
作者
Meng Yang,Yi‐Sheng Liu
出处
期刊:Energy [Elsevier BV]
卷期号:283: 129117-129117 被引量:96
标识
DOI:10.1016/j.energy.2023.129117
摘要

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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