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基于叠加原理的综合能源系统动态潮流追踪及碳熵分析OACSTPCD

Dynamic Energy Flow Tracking and Carbon Entropy Analysis of Integrated Energy System Based on Superposition Principle

中文摘要英文摘要

用户侧碳排放指标的精确计算是引导用户低碳用能的关键.目前,综合能源系统的碳轨迹追踪方法仅停留在稳态,无法精准计算负荷变化大且动态过程长的气、热系统的碳排放指标.为此,基于叠加原理对动态气、热系统进行了潮流追踪与碳熵分析.首先,建立了基于气、热系统叠加特性的动态潮流模型,计及气网管存与热网传热时延,对系统进行动态潮流追踪,明确了系统内的源-荷潮流关系.然后,基于碳熵理论提出了气、热系统的动态碳熵分析方法,进一步明确了源-荷碳排放关系,形成了用户侧精细化碳指标.最后,以中国吉林省某地区综合能源系统为例进行动态潮流分析和碳熵分析,验证了模型的有效性,并与稳态碳轨迹追踪方法对比,验证了动态碳轨迹追踪的必要性.

The accurate calculation of the carbon emission indicator on the user side is the key to guiding the usage of low-carbon energy for users.However,the current carbon trajectory tracking methods for integrated energy systems only consider steady states,which cannot accurately calculate the carbon emission indicators of the natural gas and thermal system with significant load variation and long dynamic processes.Therefore,based on the superposition principle,the energy flow tracking and carbon entropy analysis of dynamic natural gas and thermal systems are carried out.Firstly,the dynamic energy flow model based on the superposition characteristics of the natural gas and thermal systems is established.Then,the energy flow is tracked by taking the line pack in the natural gas network and the time delay in the thermal network into consideration,and the source-load energy flow relationship within the system is defined.Secondly,based on the carbon entropy theory,the dynamic carbon entropy analysis methods of natural gas and thermal systems are proposed to clarify the source-load carbon emission relationships,and refined carbon emission indicators on the user side are formed.Finally,an integrated energy system in Jilin Province,China is taken as a case to verify the effectiveness of the model in dynamic energy flow analysis and carbon entropy analysis.The necessity of dynamic carbon trajectory tracking is also verified by comparing the model with the steady-state carbon trajectory tracking method.

王梦雪;赵浩然;刘春阳;马后震

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

综合能源系统叠加特性动态潮流追踪碳熵碳轨迹

integrated energy systemsuperposition characteristicdynamic energy flow trackingcarbon entropycarbon trajectory

《电力系统自动化》 2024 (001)

10-20 / 11

国家重点研发计划资助项目(2018YFA0702200). This work is supported by National Key R&D Program of China(No.2018YFA0702200).

10.7500/AEPS20221025005

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