碳排放税
替代(逻辑)
碳纤维
替代效应
经济
自然资源经济学
温室气体
业务
计算机科学
微观经济学
算法
生态学
生物
复合数
程序设计语言
作者
Tiancheng Ouyang,Yinxuan Li,Shutao Xie,Chengchao Wang,Chunlan Mo
出处
期刊:Energy
[Elsevier]
日期:2024-03-01
卷期号:: 130960-130960
标识
DOI:10.1016/j.energy.2024.130960
摘要
As the introduction of carbon peak and carbon neutrality, the intensity of carbon regulation is growing. The power system, as the main body of carbon emission, will face the constraints of compound carbon reduction policy. To address this issue, a low-carbon economic dispatch strategy for integrated power system based on the substitution effect of carbon tax and carbon trading is proposed to improve the economic and environmental joint benefits. Firstly, facing the volatility characteristics of carbon trading price, Monte Carlo method is implemented to analyze the uncertainty of carbon trading price. Next, the renewable energy power and electricity load are forecast by long short-term memory method. Subsequently, the gray wolves algorithm is imposed to optimize the dispatch model and obtain the optimal dispatch plan. The comparative analysis reveals that the carbon emission and dynamic payback period of the optimized integrated power system are 4.37 × 106 t and 10.06 years, which are reduced 1.67 × 105 t and 0.3 years compared with the conventional power system. Besides, the economic analysis demonstrates that the substitution effect can decrease the unit cost of carbon emission by 1.03 USD/t. Finally, the comparative analysis manifests that the proposed dispatch model can effectively boost the economic and environmental joint benefits for the integrated power system.
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