  This paper presents sensitivity analyses of resilience-based active
distribution system planning solutions with respect to different parameters.
The distribution system planning problem is formulated as a two-stage
risk-averse stochastic optimization model with conditional value-at-risk (CVaR)
as the risk measure. The probabilistic scenarios are obtained using regional
wind profiles, and Monte Carlo simulations are conducted to obtain failure
scenarios based on component fragility models. The planning measure includes
advanced distribution grid operations with intentional islanding measures. The
three main parameters used in this work for sensitivity analysis are the number
of scenarios, risk preference, and planning budget allocation. Such analysis
can provide additional information to system operators on dispatching the
planning budget and available resources properly to enhance the grid's
resilience.
