排放交易
电
环境经济学
需求响应
温室气体
碳纤维
激励
电力市场
产业组织
业务
自然资源经济学
微观经济学
计算机科学
经济
工程类
电气工程
复合数
生物
生态学
算法
作者
Yan Zhi-chao,Chunyan Li,Yiming Yao,Weibin Lai,Jiyuan Tang,Changzheng Shao,Qian Zhang
出处
期刊:IEEE Transactions on Smart Grid
[Institute of Electrical and Electronics Engineers]
日期:2022-12-15
卷期号:14 (4): 2681-2696
被引量:26
标识
DOI:10.1109/tsg.2022.3229278
摘要
With the exploration of deep decarbonization around the world, it has become a broad consensus that the carbon trading mechanism can promote the low-carbon operation of the energy system by exploring the underlying driver of emissions. The end-users, as the motivator of emission in the integrated electricity-gas system (IEGS), have not been developed so far to participate in the carbon market and help emissions abatement. This paper proposes a bi-level carbon trading scheme on demand side considering the energy consumption level of users and low-carbon demand response. In the upper-level market, an optimal step-based carbon prices customization model is built to impose differentiated incentives on users, thereby balancing the emission mitigation and social welfare. In the lower-level market, a carbon trading mechanism based on the competitive auction program is proposed, then an optimal carbon trading strategy is studied to maximize the consumer surplus and further motivate the low-carbon energy consumption. On the source side, a low-carbon dispatching model of IEGS considering the flexible carbon capture power plant and power-to-gas (CCPP-P2G) is established. Moreover, the Benders decomposition algorithm is used to solve the bi-level optimal model. Case studies verify the feasibility of carbon trading on demand side and demonstrate the environmental and economic benefits of the proposed bi-level carbon trading mechanism.
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