Title page for ETD etd-12152005-111747


Type of Document Master's Thesis
Author Smith, Philip Hartley
URN etd-12152005-111747
Title Electrical Distribution Modeling:An Integration of Engineering Analysis and Geographic Information Systems
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
De La Ree Lopez, Jaime Committee Chair
Centeno, Virgilio A. Committee Member
Liu, Yilu Committee Member
Keywords
  • Electrical Distribution Systems
  • Power System Modeling
  • Geographic Information Systems
Date of Defense 2005-12-15
Availability unrestricted
Abstract
This thesis demonstrates the value of integrating electrical distribution engineering analysis with Geographic Information Systems (GIS). The 37-Node IEEE Feeder model was used as the base distribution system in this study. It was modeled separately, both in software capable of unbalanced load-flow and in an industry-standard GIS environment. Both tools utilized were commercially available, off-the shelf products indicative of those used in academia and in basic GIS installations. The foundational data necessary to build these models is representative of information required by a variety of utility departments for a multitude of applications. It is inherent to most systems within an enterprise-level, business-wide data model and therefore can be used to support a variety of applications. In this instance, infrastructure information is assumed to be managed and housed with the GIS. This data provides the required information as input for load-flow calculations. The engineering analysis is performed within DistributionSystem 4.01 and its output is passed back to the GIS in tabular format for incorporation. This thesis investigates the transfer of information between GIS and DistributionSystem 4.01 and demonstrates the extended display capabilities in the GIS environment. This research is implemented on a small scale, but is intended to highlight the need for standardization and automatic integration of these systems as well as others that are fundamental to the effective management of electrical distribution systems.
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