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

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.

Net solar generation potential from urban rooftops in Los Angeles

“…Identifying high-priority locations for installing rooftop solar arrays is a complex task requiring data integration Sultan et al, 2016;Wegertseder et al, 2016). In particular, a multi-step approach using Geographic Information Systems (GIS) is necessary to consider the spatial variability in demand and supply in evaluating technical and regulatory potential net generation (Lopez et al, 2012).…”

How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid?

“…For instance, Resch et al [16] integrated GIS modeling into the energy system to address renewable-energy infrastructure planning. Sultan and Bitar [17] used GIS to optimize locations of such distributed-energy resources as solar panels. Similarly, Sultan et al [18] investigated power-grid reliability incidents and power outages and their correlation with infrastructure age using GIS modeling.…”

“…Similarly, Sultan et al [18] investigated power-grid reliability incidents and power outages and their correlation with infrastructure age using GIS modeling. Based on previous research [17,18], it is posited GIS can highlight optimal locations for components of electric power networks including new automated distribution switches. For this research, an artefact was designed, which forms a GIS solution that resolves the current challenges faced by utilities and thus reduces the risk of power outages.…”