论文标题
一种风险驱动的概率方法，用于量化电源分配系统中的弹性
A Risk-Driven Probabilistic Approach to Quantify Resilience in Power Distribution Systems
论文作者
论文摘要
确保发电系统中对极端天气事件的弹性的弹性越来越令人担忧。但是，没有明确的方法或指标可用于弹性评估，可以使系统规划人员能够评估适当的计划措施和新的操作程序的影响，以增强弹性。在本文中，我们建议使用定义系统属性和性能的参数提出弹性度量。为了代表极端事件（尾巴概率），使用Choquet积分组合每个参数的条件价值，以评估整体弹性。在经过改进的IEEE 123-BUS系统的帮助下，在极端天气情况下，在基于模拟的框架内研究了所提出的弹性度量的有效性。有了拟议的框架，系统运营商将具有额外的灵活性，以优先考虑一项投资，以增强电网的弹性。
It is of growing concern to ensure resilience in power distribution systems to extreme weather events. However, there are no clear methodologies or metrics available for resilience assessment that allows system planners to assess the impact of appropriate planning measures and new operational procedures for resilience enhancement. In this paper, we propose a resilience metric using parameters that define system attributes and performance. To represent extreme events (tail probability), the conditional value-at-risk of each of the parameters are combined using Choquet Integral to evaluate the overall resilience. The effectiveness of the proposed resilience metric is studied within the simulation-based framework under extreme weather scenarios with the help of a modified IEEE 123-bus system. With the proposed framework, system operators will have additional flexibility to prioritize one investment over the others to enhance the resilience of the grid.
