论文标题
传输系统中的弹性事件多长时间？：由实用程序数据驱动的指标和模型
How long is a resilience event in a transmission system?: Metrics and models driven by utility data
论文作者
论文摘要
我们讨论通过对电力数据的停机并恢复实用程序数据的停机过程来衡量持续时间的方法。我们介绍了新颖的泊松过程模型，这些过程描述了弹性事件如何进行并验证它们是使用北美收集的大量停电数据是否典型的。一些通常的持续时间指标表现出不切实际的统计变异性，我们建议使用更好的持续时间指标。此外，泊松过程模型具有可以从不同天气条件下观察到的网络数据估算的参数，并有望成为典型弹性事件的新模型。
We discuss ways to measure duration in a power transmission system resilience event by modeling outage and restore processes from utility data. We introduce novel Poisson process models that describe how resilience events progress and verify that they are typical using extensive outage data collected across North America. Some usual duration metrics show impractically high statistical variability, and we recommend new duration metrics that perform better. Moreover, the Poisson process models have parameters that can be estimated from observed network data under different weather conditions, and are promising new models of typical resilience events.
