  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 the 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.
