基于碳排放分析的综合能源系统低碳优化调度方法  

Low Carbon Optimal Scheduling Method of Integrated Energy System Based on Carbon Emission Analysis

作　　者：庞清仑 刘文颖 申自裕 韩小齐 林俐 李亚楼[2] 李芳[2] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京 [2]中国电力科学研究院,北京

出　　处：《智能电网（汉斯）》2022年第3期82-91,共10页Smart Grid

摘　　要：当今世界环境问题日益突出,发展综合能源系统成为实现能源行业低碳化的重要手段。基于此,本文提出以降碳为目标的综合能源碳排放优化方法。首先对综合能源系统的各类能源的碳排放量进行了分析,其次,以降碳为目标,建立以碳排放量最小为目标的综合能源碳排放优化模型并采用粒子群算法对模型进行求解;最后,仿真验证了所提方法不仅能有效降低综合能源系统的碳排放量,还增加了综合能源系统对风、光电的消纳水平。In today’s world, the environmental problems in the world are becoming increasingly prominent, and the development of integrated energy system has become an important means to realize the low-carbon energy industry. Based on this, this paper proposes an integrated energy carbon emission optimization method aiming at carbon reduction. Firstly, the carbon emissions of all kinds of energy in the integrated energy system are analyzed. Secondly, aiming at reducing carbon emissions, the optimization model of carbon emissions of integrated energy is established and the particle swarm algorithm is used to solve the model. Finally, the simulation results show that the proposed method can not only effectively reduce the carbon emissions of the integrated energy system, but also increase the consumption level of wind power and photoelectric energy of the integrated energy system.

关 键 词：综合能源系统 碳排放分析 优化模型 粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]