中国电力2025，Vol.58Issue(11)：101-110,121,11.DOI:10.11930/j.issn.1004-9649.202507022
计及多重不确定性的综合能源系统两阶段鲁棒低碳优化调度
Two-stage Robust Low-carbon Optimal Scheduling for Integrated Energy Systems Considering for Multiple Uncertainties
摘要
Abstract
To address the challenges of electricity-heat-gas coupling in integrated energy systems under multiple uncertainties,a two-stage robust optimization scheduling model is constructed that considers the multiple uncertainties from both renewable energy and equipment.Firstly,an integrated energy system model encompassing electricity,heat,and gas is established.Subsequently,with the objectives of system economy,robustness,and low-carbon performance,a two-stage robust low-carbon optimal scheduling model is established by introducing a tiered carbon trading mechanism to constrain carbon emissions.Finally,five scenarios are designed and solved using the column-and-constraint generation algorithm.Simulation results demonstrate that the proposed model effectively reduces carbon emissions of the system scheduling scheme while ensuring system robustness,thereby significantly enhancing the rationality of the scheduling scheme.关键词
综合能源系统/多重不确定性因素/阶梯式碳交易/鲁棒优化Key words
integrated energy system/multiple uncertainties/tiered carbon trading/robust optimization引用本文复制引用
杨胡萍,龚家宁,程明,李向军,刘常禄,张扬..计及多重不确定性的综合能源系统两阶段鲁棒低碳优化调度[J].中国电力,2025,58(11):101-110,121,11.基金项目
国家自然科学基金资助项目(62562047). This work is supported by National Natural Science Foundation of China(No.62562047). （62562047）
