Dynamic modeling of Components on the Electrical Grid

Bailey S. Young

Wofford College

Research Alliance in Math and Science

Dr. Steve Fernandez and Dr. Olufemi Omitaomu

Computational Sciences and Engineering Division

Oak Ridge National Laboratory


The modeling of critical subnetworks of the national power grid conducted at Oak Ridge National Laboratory (ORNL) is building a computational simulation of the electrical grid.  The possibility of evaluating the effect of intrusions on these subnetworks will create better emergency responses and protection this critical infrastructure.  The VERDE system at ORNL was created to visualize the health of the electrical grid and receive the results of models and simulation.  As part of this effort, conversion of population information to electric power customers is required to predict areas for additional power capacity.  Conversion factor data was developed from a model of households and business firms for each county in the United States using Census 2000 data and implemented into the VERDE system for callable predictions of customer outages from population data.  To interface with VERDE, the service area/outage area program module was rewritten into the Java programming language.  MatLab code was converted to Java to create a graphical representation spatial distributions prediction of substation service/outage areas.  Inputs include electrical substation geo-location data, electricity consumption data, and population data from LandScan USA to determine the range, magnitude, and priority of risks involved with intrusions of many critical substations.  Upon refactoring output results were compared with known Michigan data supplied by Consumers Energy and evaluated using generated geo-spatial metrics for verification and validation.  These comparisons validated the Java program that is to be implemented into the VERDE system on a national scale.