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1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
2.山东大学能源与动力工程学院,山东省济南市 250061
王梦雪(1997—),女,博士研究生,主要研究方向:综合能源系统碳分析、综合能源系统分布式协同优化调度。E-mail:mengxuewang@mail.sdu.edu.cn
赵浩然(1983—),男,教授,博士生导师,主要研究方向:风机与风电场控制、风电并网、风电场数字孪生、综合能源系统。E-mail:hzhao@sdu.edu.cn
刘春阳(1989—),男,通信作者,博士,副教授,主要研究方向:储能系统与微电网能量管理、综合能源系统运行优化、电力系统规划与运行优化。E-mail:liuchunyang@sdu.edu.cn
收稿:2022-04-09,
修回:2022-06-17,
网络出版:2022-11-04,
纸质出版:2023-05-10
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王梦雪,赵浩然,刘春阳等.基于碳熵指标的电-热互联综合能源系统碳轨迹追踪方法[J].电力系统自动化,2023,47(9):13-22.
WANG Mengxue,ZHAO Haoran,LIU Chunyang,et al.Carbon Trajectory Tracking Method for Electric-Thermal Interconnected Integrated Energy System Based on Carbon Entropy Index[J].Automation of Electric Power Systems,2023,47(9):13-22.
王梦雪,赵浩然,刘春阳等.基于碳熵指标的电-热互联综合能源系统碳轨迹追踪方法[J].电力系统自动化,2023,47(9):13-22. DOI: 10.7500/AEPS20220409003.
WANG Mengxue,ZHAO Haoran,LIU Chunyang,et al.Carbon Trajectory Tracking Method for Electric-Thermal Interconnected Integrated Energy System Based on Carbon Entropy Index[J].Automation of Electric Power Systems,2023,47(9):13-22. DOI: 10.7500/AEPS20220409003.
“碳达峰·碳中和”目标背景下,节能减排成为中国能源改革的首要任务。碳排放(简称碳排)的宏观计量无法满足能量系统碳排深入研究的需求,精细化的用能侧碳排特征能够有效指导用户低碳用能。文中基于碳熵指标提出了电-热互联综合能源系统的碳轨迹追踪方法。首先,基于“熵”与“碳排”的相似特征引入了“碳熵”概念,用以描述碳排随能量流动的无序化,研究源与荷的碳熵关系。其次,基于电、热系统的叠加特性建立了电-热互联综合能源系统的碳熵模型,形成源荷作用关系的显式表达式,对电-热互联综合能源系统进行碳轨迹追踪,并分析单个碳源作用于用户侧的碳熵分量。最后,以中国吉林省某地区电-热互联综合能源系统为例进行算例分析,验证了碳熵模型的优势及有效性。
Under the target of carbon emission peak and carbon neutrality
energy conservation and emission reduction has become the primary task for energy reform in China. The macroscopic measurement of carbon emission can no longer satisfy the in-depth study on carbon emission from energy system. The detailed description of carbon emission characteristics of the energy consumption side can further guide users to realize low-carbon energy consumption. A carbon trajectory tracking method of the electric-thermal interconnected integrated energy system (ETI-IES) is proposed based on the carbon entropy index. Firstly
this paper introduces the concept of “carbon entropy” based on the similar characteristics of “entropy” and “carbon emission” to describe the disorder of carbon emission with energy flow and study the carbon entropy relationship between the energy supply side and the demand side. Secondly
based on the superposition of electric and thermal systems
this paper establishes a carbon entropy model of the ETI-IES to form an explicit expression of the relationship between carbon source and load
to track the carbon emissions in ETI-IES and calculate the carbon index of the demand side under multi-energy supply
as well as to analyze the carbon entropy component of a single carbon source. Finally
an example of ETI-IES in a region of Jilin Province of China is used for arithmetic analysis to verify the advantages and effectiveness of the carbon entropy model.
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