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提出了一个针对城市综合能源系统的灵活优化框架，以满足城市的能源需求，降低城市能源系统的碳排放并提升系统的经济效益。(1)基于能量梯级利用原理构建了包含可再生能源的城市综合能源系统，并考虑设备性能及经济参数受设备容量影响提出了一种新颖的更具实际意义的分区间高精度建模方法。(2)从系统建设可行性的角度提出了面向用户端的建设面积因子灵活约束条件，并探讨了面积约束对系统性能的影响。(3)以最小化系统年度总成本和碳排放为目标，建立集成系统设备选型、容量配置和调度方案的新型混合整数线性规划模型框架，解决城市能源系统优化设计及调度问题。结果显示，与设备不分段建模的基准场景相比，系统的年度总成本降低了59%,温室气体排放量降低了29%,而采用多目标优化平衡系统的综合性能，发现年度总成本节省49%,温室气体排放量减少74%。通过引入分区间高精度建模方法和面向用户端的灵活约束条件，优化了城市综合能源系统的设计调度策略，为实现可持续城市能源管理提供了有效的解决方案。
Abstract：This study presents a flexible optimization framework for urban integrated energy systems, aimed at meeting the energy demands of cities, reducing carbon emissions, and enhancing economic performance. Firstly, based on the principle of cascading energy utilization, an urban integrated energy system incorporating renewable energy sources is constructed. A novel, more practically meaningful high-precision inter-zone modeling method is proposed, considering the impact of equipment capacity on both performance and economic parameters. Secondly, from the perspective of system feasibility, a flexible constraint on the construction area factor for the user-end is introduced, and the influence of area constraints on system performance is explored. Finally, a new mixed-integer linear programming(MILP) model framework is developed, targeting the minimization of annual total costs and carbon emissions, integrating system equipment selection, capacity configuration, and scheduling. The results demonstrate that, compared to the baseline scenario with unsegmented equipment modeling, the annual total cost is reduced by 59%, and greenhouse gas emissions decrease by 29%. Furthermore, adopting a multi-objective optimization approach to balance system performance results in a 49% reduction in annual total costs and a 74% decrease in greenhouse gas emissions. By introducing the piecewise high-precision modeling method and user-oriented flexible constraints, this study innovatively optimizes the design and scheduling strategies of urban integrated energy systems, which provides an effective solution for achieving sustainable urban energy management.
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基本信息:
DOI：10.16152/j.cnki.xdxbzr.2026-01-008
中图分类号:TK01
引用信息:
[1]赵业博,靳森嘉,李培元,等.基于分段线性化建模的城市综合能源系统优化方法[J].西北大学学报(自然科学版),2026,56(01):83-95.DOI:10.16152/j.cnki.xdxbzr.2026-01-008.
基金信息:
国家自然科学基金(52406189); 未来能源计划联合基金(WLNY-MS-2022-012)
2026-02-21
2026-02-21