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Resilience assessment and improvement of distribution networks against extreme weather events

机译:对极端天气事件的恢复能力评估与分销网络的改进

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摘要

The storm, as one of the most frequent natural disasters, has a significant impact on the critical electrical power infrastructure. Therefore, providing a framework to enhance the strength of components of the power system, such as conductors and poles, is a practical means to reduce damage caused by extreme weather events. In response to this critical requirement, this paper presents a framework that includes three stages, i.e. natural occurrence modeling, component vulnerability and network resilience assessment, and network resilience improvement. In order to evaluate the resilience of the network components, fragility models of conductors and poles and Monte Carlo simulation are used. Furthermore, to improve the resilience of the network, vegetation management and upgrading and repairing of network poles are employed as the network hardening strategies. Then, to determine the components of the network that need reinforcement, the hardening problem is formulated as an optimization problem and solved by the genetic algorithm where budget constraints, the criticality of loads, and the accessibility of network components are considered. Finally, the proposed method is applied to a real network to demonstrate the effectiveness of the approach.
机译:作为最常见的自然灾害之一,风暴对关键电力基础设施产生了重大影响。因此,提供框架以增强电力系统的部件的强度,例如导体和杆,是减少极端天气事件造成的损害的实用手段。为了响应这一关键要求,本文提出了一个包含三个阶段的框架,即自然发生建模,组件漏洞和网络恢复性评估以及网络抵御改进。为了评估网络组件的弹性,使用导体和杆和蒙特卡罗模拟的脆弱模型。此外,为了改善网络的恢复力,植被管理和升级和修复网络杆的升级和修复被用作网络硬化策略。然后,为了确定需要加强的网络的组件,将硬化问题配制成优化问题,并通过预算约束,负载界定度以及网络组件的可访问性来制定的遗传算法。最后,将所提出的方法应用于真实网络以证明方法的有效性。

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