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基于能源管线非线性拓扑风险指标的区域电-热耦合系统管线双层扩容规划 被引量:1

Bi-level Pipeline Capacity Expansion Planning for Regional Electric-thermal Coupling System Based on Nonlinear Topological Risk Index of Energy Pipeline
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摘要 随着能源系统的发展,采用电能替代化石燃料进行供热是目前的主流发展趋势。本文针对电采暖设备接入原有电网造成的电网扩容问题,引入复杂网络理论中边介数的概念,定义不同拓扑结构下的管线重要程度,同时考虑非线性管线风险增长特性,建立区域电-热耦合系统管线双层扩容规划模型。最后,针对典型区域电-热耦合系统算例,进行了扩容规划求解分析。结果表明,由于主干管线重要程度较高,总体扩容方案更倾向于扩容主干管线,且扩容成本与管线风险呈负相关关系,相比线性风险指标,采用非线性风险指标使得越限较多的主干线路将更倾向于扩容。 With the development of energy system,the use of electric energy to replace fossil fuel for heating is the main development trend.In this paper,the concept of edge betweenness in complex network theory is introduced to solve the problem of grid expansion caused by the electric heating equipment connected to the original grid.The importance of pipelines under different topological structures is defined,and the risk growth characteristics of non-linear pipelines are considered in the meantime.On this basis,a bi-level planning model for the pipeline capacity expansion of a regional electric-thermal coupling system is established.Finally,the solution to the capacity expansion planning for a typical regional electricity-thermal coupling energy system is analyzed.Results show that,owing to the high importance of the main pipeline,the overall capacity expansion scheme is more inclined to expand the main pipeline,and the capacity expansion cost is negatively correlated with the pipeline risk.Compared with the linear risk index,the nonlinear risk index makes the main pipeline with more overruns tend to expand.
作者 王徐 雷杨 王丹 李家熙 王培汀 WANG Xu;LEI Yang;WANG Dan;LI Jiaxi;WANG Peiting(Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Tianjin 300072,China;Nanchang Electric Power Design Institute Co.,Ltd,Nanchang 330006,China)
出处 《电力系统及其自动化学报》 CSCD 北大核心 2021年第12期1-9,共9页 Proceedings of the CSU-EPSA
基金 国家重点研发计划资助项目(2018YFB0905000) 国家电网公司总部科技项目(SGTJDK00DWJSI80032)。
关键词 电-热耦合能源系统 电采暖 边介数 非线性风险 electric-thermal coupling energy system electric heating edge betweenness nonlinear risk
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