Geographic decision support systems to optimize the placement of distributed energy resources

Author(s):Vivian Sultan, Hind Bitar, Brian Hilton
Claremont Graduate University CISAT
International Journal of Smart Grid and Clean Energy, vol. 5, no. 3, July 2016: pp. 202-211
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.5.3.202-211

Abstract:United States electric utility industry is moving toward a new power grid that will accommodate bi-directional energy flow and the incorporation of Distributed Energy Resources (DERs). Currently, utility companies lack tools to identify locations on the electric grid that can sustain DERs’ adoption. This research explores the use of Geographic Information Systems (GIS), a class of tools for developing spatial models, with the aim of optimizing the placement of DERs. The intent of this research paper is to propose a Geographic Decision Support Systems (GDSS) model as a solution for the utility industry to assist in the DERs’ portfolio choices and provide actionable information for utilities, system operators, and power producers. Claremont city has been chosen as the research site to demonstrate the applicability of the proposed model. This will also serve as the basis for future research.

Keywords:Component, smart grid, new power grid, DERs

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