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考虑网络重构和应急资源的灾后配电网信息物理系统协调恢复方法

Coordinated recovery method of post-disaster distribution network cyber-physical system considering network reconstruction and emergency resources
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摘要 近年来,极端天气灾害频发给配电网信息物理系统造成了严重影响,因此,灾后配电网和信息网的协调恢复至关重要。为减小灾后系统的损失,提出了一种以系统损失成本最小为目标的配电网信息物理系统灾后多源协调恢复方法。基于配电网和信息网的耦合建立系统灾后协调恢复模型,综合考虑分布式发电机组、储能设备、网络重构、移动应急资源等措施来加快负荷的恢复;在此基础上考虑新能源出力的不确定性,提出基于信息间隙决策理论的配电网信息物理系统灾后多源协调恢复方法;采用IEEE 33节点配电网和21节点信息网仿真验证了所提方法的有效性。 In recent years,the frequent occurrence of extreme weather disasters has seriously affected the cyber-physical system of distribution network. Therefore,the coordinated recovery of distribution network and information network after disaster is of great importance. In order to reduce the loss of post-disaster system,a multi-source coordinated recovery method for distribution network cyber-physical system with the goal of minimizing the system loss cost. A post-disaster coordinated system recovery model is established based on the coupling of distribution network and information network,and then measures such as distributed generator set,energy storage equipment,network reconstruction and mobile emergency resources are taken into account to accelerate load recovery. On this basis,considering the uncertainty of new energy output,a multi-source coordinated recovery method for distribution network cyber-physical system after disaster based on information gap decision theory is proposed. The simulation of IEEE 33-bus distribution network and 21- node information network is carried out to verify the effectiveness of the proposed method.
作者 董桂岑 何川 刘绚 南璐 刘天琪 张瑜祺 DONG Guicen;HE Chuan;LIU Xuan;NAN Lu;LIU Tianqi;ZHANG Yuqi(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2024年第9期106-113,共8页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(52277114)。
关键词 故障协调恢复 信息物理耦合系统 网络重构 配电网 不确定性 fault coordination recovery cyber-physical coupling system network reconstruction distribution network uncertainty
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