Bilevel low-carbon coordinated operation of integrated energy systems considering dynamic tiered carbon pricing methodology

被引:2
|
作者
Wu, Dongge [1 ,2 ]
Chang, Xinyue [1 ,2 ]
Xue, Yixun [1 ,2 ]
Huang, Yuxi [1 ,2 ]
Su, Jia [1 ,2 ]
Sun, Hongbin [1 ,2 ]
机构
[1] Taiyuan Univ Technol, Coll Elect & Power Engn, Taiyuan 030000, Peoples R China
[2] Taiyuan Univ Technol, Key Lab Cleaner Intelligent Control Coal & Elect, Minist Educ, Taiyuan 030000, Peoples R China
关键词
Integrated energy system; Carbon emission flow theory; Carbon emission responsibility; Shapley value method; Dynamic tiered carbon pricing methodology; Bilevel coordinated operation; ALLOCATION; GENERATION; FLOW;
D O I
10.1016/j.energy.2024.133251
中图分类号
O414.1 [热力学];
学科分类号
摘要
The coordinated operation and management of energy and carbon emissions in an integrated energy system (IES) can effectively promote overall energy efficiency and reduce carbon emissions. However, allocating carbon emission responsibilities between transmission-level integrated energy system (TIES) and regional integrated energy system (RIES) is difficult. On the basis of carbon emission flow theory, a model for allocating carbon emission responsibility for IES is developed in this paper. Moreover, the Shapley value method is adopted to obtain the carbon emissions responsibility intervals at the RIES. A dynamic tiered carbon pricing methodology is proposed for the RIES on the basis of equitable carbon emission responsibility intervals. In addition, a bilevel coordinated operation model that imposes carbon price to more fully excavate the low-carbon benefits obtained from operating an IES is proposed. The upper-level model, namely, the TIES, explores the optimal low-carbon schedule for energy networks by imposing fixed carbon price on the energy production costs. The lower-level model, namely, the RIES, investigates the optimal low-carbon energy supply scheme of multienergy coupling equipment and imposes dynamic tiered carbon pricing to adjust the amount of electricity and natural gas consumed. After the whole bilevel model is solved iteratively, equilibrium is reached. Case studies verify the potential and efficacy of the proposed bilevel model, demonstrating superior effectiveness in reducing carbon emissions compared with existing methods.
引用
收藏
页数:14
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