考虑供气充裕性和风荷不确定性的综合能源系统低碳优化调度  

Low‑carbon optimal scheduling of integrated energy systems considering wind load uncertainty and gas supply sufficiency

作　　者：鄢仁武 林奕翰 方略斌 林丽婵 YAN Renwu;LIN Yihan;FANG Lüebin;LIN Lichan(School of Electronic,Electrical Engineering and Physics,Fujian University of Technology,Fuzhou 350118,China;Fujian Colleges and Universities Engineering Research Center of Smart Grid Simulation&Analysis and Integrated Control,Fuzhou 350118,China;State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350013,China)

机构地区：[1]福建理工大学电子电气与物理学院,福建福州350118 [2]智能电网仿真分析与综合控制福建省高校工程研究中心,福建福州350118 [3]国网福建省电力有限公司,福建福州350013

出　　处：《武汉大学学报(工学版)》2025年第3期416-426,共11页Engineering Journal of Wuhan University

基　　金：国家自然科学基金资助项目(编号:51977039)。

摘　　要：为解决电-气综合能源系统中天然气供气不足及风电、负荷不确定性带来的不稳定运行及环境污染、新能源消纳不足的问题,提出了一种考虑供气充裕性和风荷不确定性的综合能源系统低碳优化调度模型。首先,建立碳捕集系统,有效降低碳排放,将捕集到的CO_(2)用作电转气(power-to-gas,P2G)设备的原料,节约原料成本;其次,计及供气充裕性对系统的影响,采用气荒因子表征天然气的供气能力,协调综合能源系统机组之间的调度;此外,针对风电和负荷的不确定性,利用信息间隙决策理论建立优化调度模型,求解发电主体在不同风险规避系数下不确定参数的最大波动范围;最后,通过EGIES(electricity-gas integrated energy system)39-20节点综合能源测试系统验证所提模型的有效性,在不同场景下验证气荒因子对EGIES的优化效用,并对考虑风荷不确定之后的优化模型进行可行性分析。To solve the problems of unstable operation,environmental pollution and insufficient new energy consumption caused by insufficient supply of natural gas and uncertainty of wind power and load in electricitygas integrated energy system(EGIES),a low-carbon optimization scheduling model of integrated energy system considering gas supply sufficiency and wind load uncertainty is proposed.Firstly,a carbon capture system is established to effectively reduce carbon emissions,and the captured CO_(2) is used as the raw material of power-togas(P2G)equipment to save raw material costs.Secondly,considering the influence of gas supply abundance on the system,the gas shortage factor is used to characterize the gas supply capacity of natural gas and coordinate the dispatching among the units of integrated energy system.In addition,aiming at the uncertainty of wind power and load,an optimal dispatching model is established by using information gap decision theory to solve the maximum fluctuation range of uncertain parameters of power generators under different risk aversion coefficients.Finally,the effectiveness of the proposed model is verified by EGIES39-20 node integrated energy test system,the optimization effectiveness of gas shortage factors on EGIES is verified in different scenarios,and the feasibility analysis of optimization model considering wind load uncertainty is carried out.

关 键 词：综合能源系统 供气充裕性 低碳调度优化 信息间隙决策理论 风荷不确定性 

分 类 号：TM732[电气工程—电力系统及自动化]