Electric Grid Disaster Response Management - A Systems of Systems Engineering Approach

Authors: Abdulai Kargbo*, George Washington University
Topics: Hazards and Vulnerability, Energy, Hazards, Risks, and Disasters
Keywords: Disasters, System of System (SoS), Regional Mutual Assistance Groups (R-MAGs), Electric Grid, Emergency Coordination Center (ECC)
Session Type: Interactive Short Paper
Day: 4/13/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Napoleon D1, Sheraton 3rd Floor
Presentation File: No File Uploaded


Over the last decade, the occurrence of natural and man-made disasters and the reactive nature of post disaster recovery have shown a vacuum in the interdependencies and interconnectedness of the numerous disaster management processes. The electric utility industry is one industry with vulnerable assets hence suffering the brunt of the damage during disasters. The industry’s disaster response management involves multiple phases that require rigorous data collection and assessment; effective dissemination of information amongst various stakeholders and institutions to help restore electricity supply to communities.
Previous studies have focused on a high level architectural insight; combining the use of traditional Emergency Coordination Centres (ECCs) and quite recently introducing the use of Unmanned Aerial Vehicles (UAV). This research will combine the use of ECCs with the aid of UAVs and the confluence of Regional Mutual Assistance Groups (RMAGs) to provide a disaster management framework from a System of Systems (SoS) perspective. The SoS model will analyse the three subsystems involved in post disaster management (RMAGs, Electric Grid and UAV enhanced ECC) at a granular level from a logistical, technical and operational viewpoint. A modified architectural perspective will be developed to identify the physical and functional architectures and linkages between the constituent systems for improved restoration practices. The distinctiveness between the subsystems involved in the restoration, presents a unique opportunity to model their interdependencies and interconnectedness using computational model simulation. A unique framework that integrates qualitative and quantitative analysis of improved response and recovery practices by electric utility entities will be presented.

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