PNNL

Abstract

The ability to robustly characterize the transmission and distribution grid resilience requires the ability to perform time scale analysis that interleave communications, control, and power contributions. This consideration is important to ensuring an understanding of how each individual aspect can affect the resulting systemic resilience. The combination of co-simulation of these time-based characteristics and a resilience specific metric provides a likely method to inform both design planning and implementation/operational goals to ensure resilience in power systems. Microgrids, Infrastructure, Resilience, and Advanced Controls Launchpad Co-Simulation Platform (MIRACL-CSP) has been developed to allow the modular integration of power grid models with control and metrics applications. As the broker of the co-simulation, HELICS ensures the simulated models and applications are synchronized and data is exchanged in a real-life-like environment. In this paper, we emphasize the importance/advantage of intertwining the distribution system simulator GridLAB-D with the Power Distribution Designing for Resilience (PowDDeR) application to analyze the resilience of the St. Mary's grid in Alaska. The resilience is evaluated in both short-term (frequency stability) and long-term (energy constrained) metrics. The results of the St. Mary's grid show that there is a trade-off between the two. As inertia-based generation assets are taken off-line short-term resilience drops, however, the the long-term resilience is retained longer as less fuel is being used.