CO2 emission coupled power generation mix evolution with flexible energy resources

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2023-07-24 DOI:10.1049/stg2.12121
Lingtao Li, Yue Xiang, Yongtao Guo, Pingliang Zeng, Weiting Xu, Youbo Liu, Junyong Liu
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Abstract

Decarbonisation is the key to solving the environmental pollution caused by greenhouse gases, and the development pathways of power systems are the focus of the energy transition process. In the absence of direct energy development data, a CO2 emission model of regional power system based on a collaborative method is proposed. An estimable method of policy coordination is used to consider macro factors based on system dynamics and optimal allocation of high renewable permeable power system with a flexible resource combination is established to consider micro factors based on random production simulation. The development pathways of power systems under different national policy objectives are deduced through system dynamics. In the case study of the decarbonisation evolution pathways, two strategies are proposed to deduce the energy structure with high-penetration renewable energy and flexible resources according to the drive of the CO2 emission target. The optimal development evolution pathways decisions for decarbonisation corresponding to policy targets are simulated and analysed under different scenarios.

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灵活能源下CO2排放耦合发电组合演化
去碳化是解决温室气体环境污染的关键,而电力系统的发展路径则是能源转型过程中的重点。在缺乏直接能源发展数据的情况下,提出了基于协同方法的区域电力系统二氧化碳排放模型。基于系统动力学考虑宏观因素,采用政策协调的可估算方法;基于随机生产模拟考虑微观因素,建立了资源组合灵活的高可再生渗透电力系统的优化配置。通过系统动力学推导出不同国家政策目标下电力系统的发展路径。在去碳化演化路径的案例研究中,根据二氧化碳排放目标的驱动力,提出了两种策略来推导高渗透可再生能源和灵活资源的能源结构。模拟并分析了不同情景下与政策目标相对应的去碳化最优发展演化路径决策。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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