林嘉琳, 王俐英, 李华, 董厚琦, 曾鸣. 计及碳排放约束及源荷不确定性的电力系统协调优化配置研究[J]. 太阳能学报, 2023, 44(10): 46-57. DOI: 10.19912/j.0254-0096.tynxb.2022-0943
引用本文: 林嘉琳, 王俐英, 李华, 董厚琦, 曾鸣. 计及碳排放约束及源荷不确定性的电力系统协调优化配置研究[J]. 太阳能学报, 2023, 44(10): 46-57. DOI: 10.19912/j.0254-0096.tynxb.2022-0943
Lin Jialin, Wang Liying, Li Hua, Dong Houqi, Zeng Ming. RESEARCH ON OPTIMAL ALLOCATION OF POWER SYSTEM CONSIDERING CARBON EMISSION CONSTRAINTS AND SOURCE-LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica, 2023, 44(10): 46-57. DOI: 10.19912/j.0254-0096.tynxb.2022-0943
Citation: Lin Jialin, Wang Liying, Li Hua, Dong Houqi, Zeng Ming. RESEARCH ON OPTIMAL ALLOCATION OF POWER SYSTEM CONSIDERING CARBON EMISSION CONSTRAINTS AND SOURCE-LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica, 2023, 44(10): 46-57. DOI: 10.19912/j.0254-0096.tynxb.2022-0943

计及碳排放约束及源荷不确定性的电力系统协调优化配置研究

RESEARCH ON OPTIMAL ALLOCATION OF POWER SYSTEM CONSIDERING CARBON EMISSION CONSTRAINTS AND SOURCE-LOAD UNCERTAINTY

  • 摘要: 提出一种计及碳排放约束及源荷不确定性的电力系统双层协调优化配置模型。该模型上层以系统规划成本最小化为优化目标,对各类电源机组及储能设备配置容量进行优化。下层运行优化模型以系统碳排放量最小化为优化目标,采用模糊随机机会约束法对源、荷双侧不确定性因素进行处理,优化电源、储能、需求侧资源的出力。结果表明,综合考虑源荷储灵活性资源的电力系统协调规划可有效降低系统碳排放量,可兼顾电力系统规划的经济性与环保性。

     

    Abstract: This paper proposed a two-level coordinated optimal allocation model of regional power system considering carbon emission constraints and uncertainty. The upper layer of the model optimized the configuration capacity of various power units and energy storage equipment with the objective of minimizing the system planning cost. The lower level operation optimization model took the minimization of carbon emissions of the system as the objective. The model used the fuzzy random chance constraint method to deal with the uncertainty factors on both sides of the source and load,so as to optimize the output of power,energy storage and demand side resources. The results show that the coordinated planning of power system with comprehensive consideration of flexible resources can effectively reduce the carbon emission,and can take into account the economy and environmental protection of power system planning.

     

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