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THE ENERGY GRID & Integration of IOT Track 3 Session 3 Moderator: Mark Walker Quantified results of an Energy Grid Management Use Case that explore grid performance boundaries in the face of proliferated residential solar array deployments is presented. The Use Case demonstrates how modern IT open source tools can be integrated into a grid simulation that provides a decision support tool for the utility industry to manage future change. GridLab-D is used as an agent based model to simulate energy consumer nodes in a complex inter-connected grid using a modern IBM SystemG graph computing engine. The resulting simulation environment executes the simulated grid network with structured and unstructured data results stored in the graph database. Big Data Analytics performed on the resulting simulation data using IBM Big Data Analytics tools and Sandia National Lab DAKOTA uncertainty quantification and statistical analysis tools allow for interrogation of the resulting performance database to establish performance characteristics visualized through graphs. The work is leverages DoD sponsored research in Uncertainty Quantification in complex System of System Modeling and Simulation environments and demonstrates future model based techniques for risk management, financial modeling, grid resiliency and critical infrastructure protection.

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