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Bi-level network reconfiguration model to improve the resilience of distribution systems against extreme weather events

机译:双级网络重新配置模型,提高分配系统对极端天气事件的影响

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摘要

When a natural disaster occurs in a distribution network, a widespread power interruption may occur for a few days or weeks. This study presents a bi-level optimisation-based model for reconfiguration of the distribution network to improve the resilience of electricity distribution network against severe weather events such as storm and hurricane with the aim of minimising the cost of load outage. To achieve this, a model is first presented for evaluating the vulnerability of distribution network poles to estimate the damages imposed by the threat. Then, in the first level, according to the forecasting of possible failed lines and based on the predicted wind speed before the storm, a network reconfiguration strategy is employed to minimise the expected cost of load outage. In the second level, a new reconfiguration is carried out to restore the system loads and minimise the cost of load outage after the storm. The proposed model is then applied to a standard 33-bus radial distribution system using the GAMS software. The simulation results demonstrate the effectiveness of the proposed model in increasing network resilience and highlight the importance of network reconfiguration in the face of extreme natural disasters.
机译:当在分销网络中发生自然灾害时,可能发生广泛的功率中断几天或几周。本研究提出了一种基于双级优化的基于双层优化的模型,用于重新配置分销网络,以改善电力分配网络对抗严重的天气事件(如暴风雨和飓风)的恢复力,目的是最大限度地减少负载中断的成本。为实现这一目标,首先提出了一种模型,用于评估分销网络极点的脆弱性,以估算威胁所施加的损害。然后,在第一级,根据可能的失败线的预测并基于风暴前的预测风速,采用网络重配置策略来最小化负载中断的预期成本。在第二级,进行了新的重新配置以恢复系统负载,并最大限度地减少风暴后负载中断的成本。然后将所提出的模型应用于使用Gams软件的标准33母线径向分配系统。仿真结果展示了所提出的模型在增加网络弹性方面的有效性,并突出了网络重新配置在极端自然灾害面前的重要性。

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