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2025, v.44;No.355(11) 1-13

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冰灾场景下考虑无人机应用的综合能源系统韧性提升方法
A resilience enhancement method for integrated energy systems considering UAV response in ice storm scenarios

田书欣,苏鹏斌,赵昊星,李振坤,米阳
TIAN Shuxin,SU Pengbin,ZHAO Haoxing,LI Zhenkun,MI Yang

摘要(Abstract):

冰灾引发线路覆冰、救援难度大等问题,严重威胁电热综合能源系统的安全运行。对此,提出一种冰灾场景下考虑无人机灾中不停电除冰、灾后协同恢复的电热综合能源系统韧性提升方法。首先,建立计及线损的线路故障率模型,以量化冰灾对线路的影响;其次,从防御力、应变力、协同力与恢复力角度出发,提出系统防御能力、负荷存续量、负荷弥补量与负荷恢复量等韧性指标;然后,以多指标综合最优为目标函数,统筹考虑无人机除冰、建筑热惯性、有机朗肯循环系统发电、抢修队等约束,建立冰灾场景下电热综合能源系统韧性提升策略优化模型;最后,采用6节点热力系统与改进IEEE 33节点配电系统构成的电热综合能源系统为典型算例,验证所提方法的可行性。
Ice storms trigger transmission line icing and complicate emergency response, severely threatening the secure operation of integrated electricity-heat energy systems. To address this, this paper proposes a resilience enhancement method for integrated electricity-heat energy systems considering UAV de-icing without power interruption during disasters and post-disaster collaborative recovery. First, a line failure rate model accounting for iceinduced line losses quantifies disaster impacts. Second, resilience metrics are established across four dimensions: defensive capacity, adaptive response, coordination capability, and recovery effectiveness. Third, a multiobjective optimization model maximizes these resilience metrics, incorporating operational constraints of UAV deicing, building thermal inertia, organic Rankine cycle(ORC) generation, and repair crew deployment. Finally, validation using a 6-node thermal system coupled with a modified IEEE 33-node distribution network confirms the method's efficacy.

关键词(KeyWords): 冰灾;无人机除冰;综合能源系统;韧性提升;有机朗肯循环系统发电
ice disaster;UAV de-icing;integrated energy system;resilience enhancement;ORC generation

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52007112);; 国家电网有限公司科技项目(B30934240001)

作者(Author): 田书欣,苏鹏斌,赵昊星,李振坤,米阳
TIAN Shuxin,SU Pengbin,ZHAO Haoxing,LI Zhenkun,MI Yang

DOI: 10.19585/j.zjdl.202511001

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