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耦合储液式CCS和ORC的IES低碳优化调度OA

Low-carbon optimal dispatch of an IES coupling solvent-storage CCS and ORC

中文摘要英文摘要

为进一步提高综合能源系统(integrated energy system,IES)的运行灵活性与低碳排放能力,文中提出一种耦合储液式碳捕集系统(carbon capture system,CCS)和有机朗肯循环(organic Rankine cycle,ORC)余热发电装置的IES低碳优化调度模型.首先,通过余热利用构建燃气轮机(gas turbine,GT)热电联产(combined heat and power,CHP)模型,引入 ORC 余热发电装置,以实现机组的热电解耦并提高系统运行灵活性.然后,通过 CCS 约束系统的碳排放,并验证储液式 CCS的减碳能力与灵活控碳优势.最后,建立以系统购能成本、碳排放成本和可再生能源弃电成本之和最小为目标的日前优化调度模型.结果表明,所提模型通过 ORC 余热发电装置实现了机组的热电解耦并提高了系统的运行灵活性,同时减少了 1.06%的总成本和 1.03%的碳排放量.储液式 CCS 通过能量时移特性使系统的碳排放量和总成本分别减少了 77.91%和 11.84%,并使可再生能源利用率达到了 75.48%.仿真结果表明,所提模型能够有效降低系统的运行成本、减少碳排放量,并增加可再生能源的消纳.

To further improve the operational flexibility and low-carbon emission capacity of integrated energy system(IES),a low-carbon optimal scheduling model of IES coupled with a solvent-storage carbon capture system(CCS)and an organic Rankine cycle(ORC)waste heat power generation device is proposed.Firstly,a combined heat and power(CHP)model for a gas turbine(GT)is constructed through waste heat utilization,and an ORC waste heat power generation unit is introduced to achieve thermoelectric decoupling of the unit and improve the operational flexibility of the system.Secondly,the carbon emissions of the system are constrained through the CCS,and the carbon reduction capability and flexible carbon control advantages of the solvent-storage CCS are further validated.Finally,a day-ahead optimal scheduling model is established with the objective of minimizing the total cost of the system,including energy procurement cost,carbon emission cost,and renewable energy curtailment cost.The results show that the ORC waste heat power generation unit achieves thermoelectric decoupling of the unit and enhances the operational flexibility of the system,while reducing operational costs and carbon emissions by 1.06%and by 1.03%,respectively.The solvent-storage CCS reduces the carbon emissions and total costs of the system by 77.91%and 11.84%,respectively,and the utilization rate of renewable energy reaches 75.48%.The simulation results demonstrate that the proposed model can effectively lower system operating costs,reduce carbon emissions,and promote renewable energy integration.

耿显显;张靖;何宇;严儒井;吕刚;刘影

贵州大学电气工程学院,贵州 贵阳 550025贵州大学电气工程学院,贵州 贵阳 550025贵州大学电气工程学院,贵州 贵阳 550025贵州大学电气工程学院,贵州 贵阳 550025中国南方电网有限责任公司超高压输电公司贵阳局,贵州 贵阳 550081贵州电网有限责任公司电网规划研究中心,贵州 贵阳 550025

信息技术与安全科学

综合能源系统(IES)碳捕集(CCS)有机朗肯循环(ORC)热电解耦灵活性提升低碳优化调度

integrated energy system(IES)carbon capture system(CCS)organic Rankine cycle(ORC)thermoelectric decouplingflexibility enhancementlow-carbon optimal scheduling

《电力工程技术》 2026 (4)

1-11,11

国家自然科学基金资助项目(52406227)贵州省科技支撑计划资助项目(黔科合支撑[2022]一般013)贵州省科技支撑计划资助项目(黔科合成果-LH[2024]重大028)

10.12158/j.2096-3203.2026.04.001

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