Abstract
 A Spatial Approximation Method for Electrical Substation Service Area Delineation Track: Homeland Security/Homeland Defense Author(s): Steven Castongia, Wei-Ning Xiang, William Tolone, Andrew Schumpert, Seok-Won Lee In the practice of homeland security planning, an important task is to isolate service areas that would be affected by a future catastrophic event in a power grid. The delineation of such areas is often hindered by the lack of information because most critical infrastructure (CI) data is in the private sector. Professionals who work in homeland security planning must experiment with a variety of spatial approximation methods in delineating service areas. The resource allocation method is more advantageous methodologically as it is capable of considering surface conditions. However, this method has two major challenges: (1) how to define and represent the demand of electricity and (2) how to allocate resources to meet the demand under certain constraints. Previous research has not dealt with these challenges. This paper will conclude with a real-world application of the methodology in a GIS and an assessment of its reliability and accuracy. Steven Castongia University of North Carolina - Charlotte Geography and Earth Sciences 15331 Great Glen Ln Huntersville , NC 28078 US Phone: 704-948-1624 E-mail: scastongia@hotmail.com Wei-Ning Xiang University of North Carolina - Charlotte Geography and Earth Sciences 9201 University City Blvd Charlotte , NC 28223 US Phone: (704) 687-4247 E-mail: wxiang@email.uncc.edu William Tolone University of North Carolina - Charlotte Software and Information Systems 9201 University City Blvd Charlotte , NC 28223 US Phone: (704) 687-8664 E-mail: wjtolone@email.uncc.edu Andrew Schumpert University of North Carolina - Charlotte Geography and Earth Sciences 9201 University City Blvd Charlotte , NC 28223 US Phone: 704-763-3576 E-mail: alschump@uncc.edu Seok-Won Lee University of North Carolina - Charlotte Software and Information Systems 9201 University City Blvd Charlotte , NC 28223 US Phone: (704) 687-8662 E-mail: seoklee@email.uncc.edu |
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