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作 者:陈彦奇 刘康祥 赵鑫[1] 徐钢[1] 陈衡[1] 刘文毅[1] CHEN Yanqi;LIU Kangciang;ZHAO Xin;XU Gang;CCHEN Heng;LIU Wenyi(Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation,North China Electric Power University,Beijing 102206,China)
机构地区:[1]华北电力大学热电生产过程污染物监测与控制北京市重点实验室,北京102206
出 处:《动力工程学报》2023年第7期901-909,916,共10页Journal of Chinese Society of Power Engineering
基 金:国家自然科学基金重大资助项目(52090064)。
摘 要:为实现综合能源系统的经济低碳运行,提出了计及阶梯型碳交易机制的综合能源系统优化模型,首先以系统全年运行维护成本和投资成本最小为目标,建立了考虑多元负荷需求的综合能源系统容量优化模型,其次基于k-means聚类方法及平均值法选取典型日冷热负荷,最后以系统运行维护成本以及碳交易成本最小为目标,分析不同基准碳价对系统运行方式、碳排放量以及经济性的影响,并以典型日进行详细分析。结果表明:将阶梯型碳交易机制引入综合能源系统可以有效降低碳排放量并提高系统的经济性,尤其对于供热季,能以较低基准碳价对系统产生显著影响。In order to realize the economical and low-carbon operation of the integrated energy system,an integrated energy system optimization model considering the stepped carbon trading mechanism was proposed.Firstly,the goal was to minimize the annual operation and maintenance costs of the system and investment costs.An energy system capacity optimization model was established considering multiple load demands.Secondly,the typical daily cooling and heating loads were selected based on the k-means clustering method and the average method.Finally,the minimum system operation and maintenance costs and carbon trading costs were targeted to analyze the impact of different benchmark carbon prices on system operation,carbon emissions and economic efficiency,and conducted a detailed analysis on a typical day.Results show that the introduction of the stepped carbon trading mechanism into the integrated energy system can effectively reduce carbon emissions and improve the economy of the system,especially in the heating season,which can have a significant impact on the system with a lower benchmark carbon price.
关 键 词:综合能源系统 k-means聚类方法 低碳 阶梯型碳交易
分 类 号:TK247[动力工程及工程热物理—动力机械及工程]
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