Impact of Operational Wind Generation in the Australian National Electricity Market over 2007-2012

Phillip Wild, William Bell and John Foster ()

No 1-2014, Energy Economics and Management Group Working Papers from School of Economics, University of Queensland, Australia

Abstract: This paper investigates the effect of wind generation in the states comprising the Australian National Electricity Market (NEM). The methodology utilize an agent based model, which contains many features salient to the NEM including intra-state and inter-state transmission branches, regional location of generators and load centres and accommodation of unit commitment features. The model uses a Direct Current Optimal Power Flow (DC OPF) algorithm to determine optimal dispatch of generation plant, power flows on transmission branches and wholesale prices. We present results of the impact of wind generation on wholesale prices, dispatch patterns, carbon emissions and transmission network adequacy within the NEM.

Keywords: carbon emissions; electricity prices; agent-based model; DC OPF Algorithm; wind generation; Australian National Electricity Market. (search for similar items in EconPapers)
JEL-codes: C61 C63 D24 L94 (search for similar items in EconPapers)
Date: 2014-04
New Economics Papers: this item is included in nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.uq.edu.au/eemg/docs/workingpapers/2014-1.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:qld:uqeemg:1-2014

Access Statistics for this paper

More papers in Energy Economics and Management Group Working Papers from School of Economics, University of Queensland, Australia Contact information at EDIRC.
Bibliographic data for series maintained by SOE IT ().