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An identification method of weak links of overhead lines in distribution network based on typhoon scenario simulation

机译:基于台风场景模拟的分发网络桥面线弱链路识别方法

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In order to reduce load loss and economic loss of distribution network when struck by typhoon, this paper proposed an identification method of weak links of overhead lines in distribution network based on typhoon scenario simulation. Firstly, the Batts model is used to describe the wind speed and attenuation process after typhoon landing. Then, the failure rates of pole and line are established based on the relationship between wind load and anti-bending strength of the pole. Further, the line vulnerability index is defined considering the line failure frequency and the importance of load. The weight of each factor in the index is determined by analytic hierarchy process. Finally, the identification method of weak links of overhead lines based on Monte Carlo method in distribution network is given. The proposed model is implemented on an IEEE RBTS BUS6 and the results are presented to show that the weak lines determined by the method can be used as the rule for reinforcing concrete poles and distributing emergency generators, which can effectively reduce the load loss and economic loss of the distribution network.
机译:为了在台风击中时减少配电网络的负载损失和经济损失,提出了一种基于台风场景仿真的分配网络桥面线弱链路的识别方法。首先,BATTS模型用于在台风着陆后描述风速和衰减过程。然后,基于杆的风力荷载与防弯曲强度之间的关系来建立极点和线的故障速率。此外,考虑线路故障频率和负载的重要性定义了线漏洞索引。索引中的每个因素的权重由分析层次处理确定。最后,给出了基于分布网络中的蒙特卡罗方法的桥接线弱链路的识别方法。所提出的模型在IEEE RBTS总线上实现,并提出了结果,表明该方法确定的弱线可以用作加强混凝土杆和分配应急发生器的规则,这可以有效地降低负载损失和经济损失分发网络。

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