Publications

Hoffman, Matthew J.; Wachtel, Amanda; Gauthier, John H.; Munoz-Ramos, Karina M.; Turnley, Jessica; Nelson, April M.; Speed, Ann S.; Lawton, Craig R.; Kittinger, Robert

Abstract not provided.

2017 12th System of Systems Engineering Conference, SoSE 2017

Turnley, Jessica; Wachtel, Amanda; Munoz-Ramos, Karina M.; Hoffman, Matthew J.; Gauthier, John H.; Speed, Ann S.; Kittinger, Robert

As system of systems (SoS) models become increasingly complex and interconnected a new approach is needed to capture the effects of humans within the SoS. Many real-life events have shown the detrimental outcomes of failing to account for humans in the loop. This research introduces a novel and cross-disciplinary methodology for modeling humans interacting with technologies to perform tasks within an SoS specifically within a layered physical security system use case. Metrics and formulations developed for this new way of looking at SoS termed sociotechnical SoS allow for the quantification of the interplay of effectiveness and efficiency seen in detection theory to measure the ability of a physical security system to detect and respond to threats. This methodology has been applied to a notional representation of a small military Forward Operating Base (FOB) as a proof-of-concept.

Turnley, Jessica; Wachtel, Amanda; Munoz-Ramos, Karina M.; Hoffman, Matthew J.; Gauthier, John H.; Speed, Ann S.; Kittinger, Robert

Abstract not provided.

Schoenwald, David A.; Munoz-Ramos, Karina M.; McLendon, William C.; Russo, Thomas V.

Abstract not provided.

Schoenwald, David A.; Richardson, Bryan T.; Riehm, Andrew C.; Wolfenbarger, Paul W.; Adams, Brian M.; Reno, Matthew J.; Hansen, Clifford H.; Oldfield, Ron A.; Stamp, Jason E.; Stein, Joshua S.; Hoekstra, Robert J.; Munoz-Ramos, Karina M.; McLendon, William C.; Russo, Thomas V.; Phillips, Laurence R.

Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.