综合智慧能源2025，Vol.47Issue(7)：32-43,12.DOI:10.3969/j.issn.2097-0706.2025.07.004
考虑不确定性的综合能源系统建模及优化研究进展
Research progress on modeling and optimization of integrated energy systems considering uncertainty
摘要
Abstract
The optimal scheduling of integrated energy systems(IES)is affected by fluctuations in uncertain factors such as renewable energy and load.Failure to accurately describe and process these uncertain parameters will constrain system reliability,and the lack of refined modeling and optimization methods makes uncertainty analysis more complex.To comprehensively and systematically analyze uncertainty modeling and optimization methods,the structure of IES,sources of uncertainty,and modeling approaches are reviewed.Monte Carlo simulation,information gap decision theory,interval methods,robust optimization,and data-driven methods are summarized,along with their applications and studies in uncertainty optimization.Research findings indicate that there is no single best optimization method.The complementarity of multiple methods can maximize the economic and environmental benefits of IES.Based on current research challenges and hotspots,future directions for uncertainty optimization are outlined.关键词
综合能源系统/系统结构/数学建模/不确定性优化/蒙特卡罗模拟/信息差距决策理论/鲁棒优化/能源枢纽Key words
integrated energy system/system structure/mathematical modeling/uncertainty optimization/Monte Carlo simulation/info-gap decision theory/robust optimization/energy hub分类
能源科技引用本文复制引用
宋坤,顾文波..考虑不确定性的综合能源系统建模及优化研究进展[J].综合智慧能源,2025,47(7):32-43,12.基金项目
新疆维吾尔自治区重大科技项目(2023A01005-2)Major Science and Technology Project of Xinjiang Uygur Autonomous Region(2023A01005-2) （2023A01005-2）
