分布式能源2026，Vol.11Issue(3)：110-118,9.DOI:10.16513/j.2096-2185.DE.25100315
机会约束规划下的区域综合能源系统多时间尺度低碳调度方法
A Multi-Time-Scale Low-Carbon Scheduling Method for Regional Integrated Energy Systems Under Chance-Constrained Programming
摘要
Abstract
The uncertainty of wind and photovoltaic power generation results in carbon emissions of low-carbon scheduling methods not meeting expectations.Therefore,a multi-time-scale low-carbon scheduling method for regional integrated energy systems under chance constrained planning is proposed.Firstly,it uses the power of wind and solar power generation at different time periods as random variables,and introduces confidence level quantification constraints,an improved particle swarm algorithm is used to determine the optimal decision variables.Secondly,it introduces carbon capture power plants to capture,store,and reuse CO2,constructs a carbon cycle system,and designs a tiered carbon trading mechanism and user demand response mechanism.Finally,it designs a multi-time-scale real-time rolling control plan,constructs real-time scheduling objective functions and constraints,and achieves low-carbon scheduling of regional integrated energy systems at multiple time scales.The experimental results show that the designed scheduling method reduces carbon emissions by 4 570.1 kg compared to the no strategy scenario,and the actual carbon emissions are slightly lower than the free quota by 5%.It can effectively utilize low-carbon resources while meeting the requirements of system carbon emission constraints.关键词
机会约束规划/区域综合能源系统/多时间尺度/源荷不确定/粒子群优化算法Key words
chance-constrained programming/regional integrated energy system/multi-time-scale/source-load uncertainty/particle swarm optimization algorithm分类
能源科技引用本文复制引用
陈智祺,吴方权,李康..机会约束规划下的区域综合能源系统多时间尺度低碳调度方法[J].分布式能源,2026,11(3):110-118,9.基金项目
This work is supported by Science and Technology Project of Guizhou Power Grid Co.,Ltd.(No.GZKJXM20232381). 贵州电网有限责任公司科技项目(GZKJXM20232381) （No.GZKJXM20232381）
