首页|考虑碳排放约束的风电-碳捕集-电转气虚拟电厂低碳经济优化

考虑碳排放约束的风电-碳捕集-电转气虚拟电厂低碳经济优化

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减少碳排放可以有效缓解温室效应,综合能源系统和碳捕集系统是实现低碳化的重要措施.通过在电-气综合能源系统中的基础上,引入灵活运行方式的碳捕集系统,探究碳捕集系统对降低碳排放的作用,并提出了一种风电-碳捕集-电转气联合运行方式;其次,考虑了碳排放约束的作用,通过设置不同的二氧化碳减排系数来研究碳排放约束对综合能源系统低碳运行的影响,最后基于IEEE-39 节点电力系统与 20 节点天然气算例系统,通过GUROBI优化软件求解模型,通过仿真分析所提出的风电-碳捕集-电转气联合运行方式和碳排放约束对系统低碳经济运行的影响.仿真数据结果验证了所提风电-碳捕集-电转气联合运行模型可以有效地降低系统的碳排放量,并且通过调节碳排放约束也可以有效改善系统的碳排放.
Low Carbon Economy Optimization of WT-CCS-P2G Virtual Power Plant Considering Carbon Emission Constraint
Reducing carbon emissions can effectively mitigate the greenhouse effect,and integrated energy systems and carbon capture systems are important measures to achieve low carbon.Based on the integrated power-gas energy system,a carbon capture system with flexible operation mode to is introduced explore the role of carbon capture system in reducing carbon emissions,and a combined operation mode of wind power-carbon capture-P2G is proposed.Secondly,the effect of carbon emission constraint is considered,and the influence of carbon emission constraint on low-carbon operation of comprehensive energy system is studied by setting different carbon dioxide emission reduction coefficients.Finally,based on IEEE-39 nodes power system and 20-node natural gas system,the model is solved by GUROBI optimization software.The effects of the combined operation mode of wind power,carbon capture,power to gas and carbon emission constraints on the low-carbon economic operation of the system are verified by simulation analysis.The simulation data results verify that the proposed combined operation model of wind power-carbon capture-P2G can effectively reduce the carbon emissions of the system,and can also effectively improve the carbon emissions of the system by adjusting the carbon emission constraints.

Low carbon economy optimizationintegrated energy systemscarbon capture systemscarbon emission constraints

陈继明、徐乾、高辉、宋军志、于馨玮、陈文淙

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中国石油大学(华东)新能源学院 青岛 266580

山东济宁圣地电业集团有限公司 济宁 272000

威海海源电力工程有限公司乳山分公司 威海 264500

低碳经济优化 综合能源系统 碳捕集系统 碳排放约束

2024

电气工程学报
机械工业信息研究院

电气工程学报

CSTPCD北大核心
影响因子:0.121
ISSN:2095-9524
年,卷(期):2024.19(4)