Final Report: Market and Economic Modelling of the Intelligent Grid

John Foster (), Liam Wagner, Phillip Wild, William Bell, Junhua Zhao and Craig Froome
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Junhua Zhao: Department of Economics, University of Queensland

No 12, Energy Economics and Management Group Working Papers from School of Economics, University of Queensland, Australia

Abstract: The overall goal of Project 2 has been to provide a comprehensive understanding of the impacts of distributed energy (DG) on the Australian Electricity System. The research team at the UQ Energy Economics and Management Group (EEMG) has constructed a variety of sophisticated models to analyse the various impacts of significant increases in DG. These models stress that the spatial configuration of the grid really matters - this has tended to be neglected in economic discussions of the costs of DG relative to conventional, centralized power generation. The modelling also makes it clear that efficient storage systems will often be critical in solving transient stability problems on the grid as we move to the greater provision of renewable DG. We show that DG can help to defer of transmission investments in certain conditions. The existing grid structure was constructed with different priorities in mind and we show that its replacement can come at a prohibitive cost unless the capability of the local grid to accommodate DG is assessed very carefully.

Keywords: Distributed Generation. Energy Economics; Electricity Markets; Renewable Energy (search for similar items in EconPapers)
JEL-codes: Q40 (search for similar items in EconPapers)
Date: 2011-12
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Citations: View citations in EconPapers (5)

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