  Dispatchable region for renewables (DRR) depicts a space for renewables that
a power system operator can manage by dispatching controllable resources. The
DRR can be used to evaluate the distance from an operating point to a secure
boundary and identify ramping events with the highest risk. However, existing
approaches based on MILP reformulation or iteration-based LP algorithms may be
computationally challenging. This paper investigates if advanced computation
techniques, including high-performance computing and parallel computing
techniques, can improve the computational performance.
