Towards using utility data to quantify how investments would have increased the wind resilience of distribution systems
Towards using utility data to quantify how investments would have increased the wind resilience of distribution systems
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DOI：
10.1109/tpwrs.2023.3342729
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发表时间：
2023-06
影响因子：
6.6
通讯作者：
Arslan Ahmad;I. Dobson
中科院分区：
文献类型：
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作者：
Arslan Ahmad;I. Dobson
我们使用从许多配电公用事业公司定期记录的历史停电数据中提取的指标来量化弹性。断电数据与风力数据相协调，将某个区域的平均断电率与附近气象站测量的风速联系起来。过去对风强化的投资会降低断电率，并且可以通过对减少的历史断电次数进行采样并重新计算指标来计算这对指标的影响。这量化了强化对客户产生的影响。这是一种切实可行的方式，将风能抵御能力的投资与客户的生活体验所带来的好处联系起来，这有助于向公众和监管机构说明投资的理由。我们还量化了更早或更快恢复对客户指标的影响，并将其与强化投资的影响进行比较。总体而言，这是一种新的、直接的方法，用于量化弹性并向由公用事业数据直接驱动的利益相关者证明弹性投资的合理性。由数据驱动的方法避免了复杂的模型或建模假设。
We quantify resilience with metrics extracted from the historical outage data that is routinely recorded by many distribution utilities. The outage data is coordinated with wind data to relate average outage rates in an area to wind speed measured at a nearby weather station. A past investment in wind hardening would have reduced the outage rates, and the effect of this on metrics can be calculated by sampling a reduced number of historical outages and recomputing the metrics. This quantifies the impact that the hardening would have had on customers. This is a tangible way to relate an investment in wind resilience to the benefits it would have had on the lived experience of customers that could help make the case for the investment to the public and regulators. We also quantify the impact of earlier or faster restoration on customer metrics and compare this to the impact of investment in hardening. Overall, this is a new and straightforward approach to quantify resilience and justify resilience investments to stakeholders that is directly driven by utility data. The approach driven by data avoids complicated models or modeling assumptions.