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Distribution systems resilience enhancement via pre- and post-event actions

机译：分发系统通过预先和后期行动恢复增强

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摘要

Recently, resilience studies have become an indispensable tool for sustainable operation of energy infrastructure. In line with the need, this study presents a mathematical model to enhance resilience level of power distribution systems against natural disasters. The model is designed as a three-stage algorithm according to system operators’ actions. The first stage schedules pre-event actions. At this stage, forecasts about the approaching disaster as well as fragility curves of system components are used to identify failure probability of system components. The failure probabilities are used to trip out the lines as much as possible to defensively operate the distribution network, and advantages of alternatives such as distributed energy resources and normally-open switches are taken to serve critical loads. The second stage is to monitor system operating conditions during the event and identify the status of system components. The third stage mainly focuses on scheduling post-event actions. At this stage, based on real data about different elements of the network, available alternatives are taken to restore as much critical load as possible. To evaluate performance of the model, it is applied to a distribution test system and the results are discussed in detail.
机译：最近，恢复力研究已成为能源基础设施可持续运行的不可或缺的工具。本研究符合需要，提高了一种数学模型，以增强对抗自然灾害的配电系统的抵御水平。该模型根据系统运营商的动作设计为三级算法。第一阶段计划预先发生的操作。在此阶段，预测接近灾难以及系统组件的脆弱曲线用于识别系统组件的失效概率。失效概率用于尽可能多地跳出线路，以防守地操作分配网络，以及诸如分布式能源和常开开关的替代方案的优点是为了提供关键负载。第二阶段是在事件期间监控系统操作条件并确定系统组件的状态。第三阶段主要侧重于调度后事件行动。在此阶段，基于关于网络的不同元素的实际数据，可用的替代方案恢复尽可能多的关键负载。为了评估模型的性能，它适用于分布测试系统，并详细讨论结果。

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