灵敏度(控制系统)
灵活性(工程)
经济调度
加速度
温室气体
碳纤维
电力系统
惯性
功率(物理)
计算机科学
工程类
数学
算法
生态学
统计
物理
经典力学
量子力学
电子工程
复合数
生物
作者
Shuai Lu,Yuan Li,Wei Gu,Yijun Xu,Shixing Ding
出处
期刊:Applied Energy
[Elsevier BV]
日期:2023-09-12
卷期号:351: 121871-121871
被引量:8
标识
DOI:10.1016/j.apenergy.2023.121871
摘要
The acceleration of low carbon development and carbon emission reduction (CER) policies have compelled power systems to act and consider carbon emissions in their dispatches. To realize CER, power system economic dispatch has become more challenging. The integrated energy system (IES) can significantly reduce the production of carbon emissions. In light of this, this paper proposes a bi-objective optimization model to coordinate the operating cost and carbon emission of the IES and a sensitivity analysis approach to evaluate the impact of CER. First, the coupling relationship between energy and carbon in the IES is analyzed. Second, the bi-objective optimization model of the IES is proposed, in which the thermal inertia is embedded to provide operational flexibility. Third, three sensitivity metrics and the corresponding models are proposed to quantify the impact of global/local CER of IES, including the cost of global CER, the cost of local CER, and the sensitivity of local CER. Finally, the dispatch procedure and algorithm are introduced. Case studies demonstrate the effectiveness of the proposed method, in which the impact of thermal inertia and battery capacity on dispatch results and CER sensitivity is analyzed.
科研通智能强力驱动
Strongly Powered by AbleSci AI