计及空气碳捕和电转气的智慧小区微能网优化调度  

Optimal Scheduling of Smart Community Micro-energy Grid Considering Direct Air Carbon Capture and Power to Gas

作　　者：何熙宇 徐慧慧 梁宁[1] 潘郑楠 郑峰 方茜 HE Xiyu;XU Huihui;LIANG Ning;PAN Zhengnan;ZHENG Feng;FANG Qian(Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,Yunnan 650500,China;Institute of Economic Technology,State Grid Gansu Electric Power Company,Lanzhou,Gansu 730000,China;School of Electrical Engineering and Automation,Fuzhou University,Fuzhou,Fujian 350108,China)

机构地区：[1]昆明理工大学电力工程学院,云南昆明650500 [2]国网甘肃省电力公司经济技术研究院,甘肃兰州730000 [3]福州大学电气工程与自动化学院,福建福州350108

出　　处：《广东电力》2023年第3期1-12,共12页Guangdong Electric Power

基　　金：国家自然科学基金项目(52167010);云南省基础研究计划项目(202101AU070015);云南省人才培养项目(KKSY201904013)。

摘　　要：碳达峰、碳中和背景下,针对绿色低碳智慧小区微能网优化调度难题,提出一种考虑直接空气碳捕(direct air capture,DAC)与电转气(power to gas,P2G)协同效益的微能网优化调度方法。首先,提出小区空气碳捕应用场景新思路,基于CO_(2)化学吸附原理建立智慧小区DAC碳捕量、碳捕能耗耦合关系的数学模型;进而,在研究P2G-DAC特性的基础上,建立P2G-DAC协同运行模型;然后,在考虑小区微能网系统约束及DAC装置变温吸附循环特性的基础上,以系统综合运行成本最小为目标,构建协同调度模型;最后,利用Yalmip工具箱调用Gurobi求解器对模型进行求解,并基于西南某别墅小区开展仿真验证工作。仿真结果表明,所提智慧小区微能网P2G-DAC协同调度策略能够促使系统综合运行成本下降6.77%、系统碳排量下降75%,在提升微能网运行经济性的同时,能够降低碳排放,产生环境、社会效益。Under the background of the dual-carbon target,this paper proposes an optimal scheduling method for the microenergy grid considering the synergistic effect of direct air capture(DAC)and power to gas(P2G)to solve the problem of optimal scheduling of the micro-energy grid of the low-carbon smart communities.Firstly,a new idea of community air carbon capture application scenario is proposed,and a mathematical model of the coupling relationship between carbon capture and carbon capture energy consumption of DAC is established based on the principle of CO_(2) chemisorption.Furthermore,based on the study of P2G-DAC characteristics,the collaborative operation model of P2G-DAC is established.Then,considering the system operation constraints and the adsorption cycle characteristics of carbon capture device,a collaborative scheduling model is constructed to minimize the overall operating cost of the system.Finally,the Yalmip is used to call the Gurobi solver to solve the model,and the simulation verification work is carried out based on a villa community in southwest China.The simulation results show that the proposed P2G-DAC coordinated scheduling strategy of micro-energy grid in smart community can reduce the comprehensive operation cost of the system by 6.77%and the carbon emission of the system by 75%.While improving the economy of micro-energy grid operation,it can reduce carbon emissions and has significant environmental and social benefits.

关 键 词：直接空气碳捕 电转气 智能小区微能网 碳中和 优化调度 

分 类 号：TM73[电气工程—电力系统及自动化] TK018[动力工程及工程热物理]