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考虑热惯性的极端冰雪灾害下综合能源系统韧性提升

Resilience Enhancement of Integrated Energy Systems Under Extreme Ice and Snow Disasters Considering Thermal Inertia
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摘要 近年来,极端冰雪灾害导致配电网大规模停电事故频发,严重危害到人民群众的冷暖安危。目前,综合能源系统中热电耦合密切,极端冰雪灾害发生时如何通过热能提升电力系统韧性依然面临挑战。为提升综合能源系统应对极端冰雪灾害的能力,充分发挥热能特性,首先,文中提出了极端冰雪灾害下配电网线路的故障模型;其次,结合热网传输延时特性和热负荷的热惯性,对综合能源系统进行建模;然后,基于两阶段分布鲁棒优化模型提出了灾前利用建筑物热惯性存储热能、配置储热量,灾后闭合联络开关、优化故障抢修的综合能源系统韧性提升策略;最后,搭建热电耦合算例进行仿真验证。结果表明,所提韧性提升策略能够充分挖掘热能潜力,兼顾了经济性和鲁棒性,实现了综合能源系统韧性提升。 In recent years,extreme ice and snow disasters have led to frequent large-scale power outages in distribution networks,seriously endangering the safety of people’s heating and cooling.At present,the thermal-electric coupling in the integrated energy system is close,and how to improve the resilience of the power system through thermal energy when extreme ice and snow disasters occur is still unsolved.In order to improve the ability of integrated energy system to cope with extreme ice and snow disasters and fully exploit the thermal energy characteristics,firstly,the fault model of distribution network line under extreme ice and snow disasters is proposed.Secondly,combined with the transmission delay characteristic of heat network and the thermal inertia of heat load,a model of integrated energy systems is established.Then,based on the two-stage distributed robust optimization model,a strategy for enhancing the resilience of integrated energy systems is proposed,which uses the thermal inertia of buildings to store thermal energy and allocates thermal storage capacity before disaster as well as closes the interconnection switches and optimizes fault repair after disasters.Finally,a case of thermal-electric coupling is set up for simulation verification.The results show that the resilience enhancement strategy can fully tap the thermal energy potential,balance the economy and robustness,and realize the resilience enhancement of the integrated energy system.
作者 唐坤霆 周永智 李宝聚 韦巍 TANG Kunting;ZHOU Yongzhi;LI Baoju;WEI Wei(Polytechnic Institute,Zhejiang University,Hangzhou 310015,China;State Grid Jilin Electric Power Co.,Ltd.,Changchun 130000,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2024年第21期129-137,共9页 Automation of Electric Power Systems
基金 国家重点研发计划资助项目(2022YFB2404000)。
关键词 极端冰雪灾害 韧性 综合能源系统 热惯性 分布鲁棒优化 extreme ice and snow disaster resilience integrated energy system thermal inertia distributionally robust optimization
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