Impact of Operational Wind Generation in the Australian National Electricity Market over 2007-2012
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.
|Date of creation:||Apr 2014|
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Web page: http://www.uq.edu.au/eemg
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- Foster, John & Bell, William Paul & Wild, Phillip & Sharma, Deepak & Sandu, Suwin & Froome, Craig & Wagner, Liam & Misra, Suchi & Bagia, Ravindra, 2013.
"Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change,"
47787, University Library of Munich, Germany.
- John Foster & William Paul Bell & Phil Wild & Deepak Sharma & Suwin Sandu & Craig Froome & Liam Wagner & Suchi Misra & Ravindra Bagia, 2013. "Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change," Energy Economics and Management Group Working Papers 6-2013, School of Economics, University of Queensland, Australia.
- Phil Wild & William Paul Bell & John Foster, 2012. "An Assessment of the Impact of the Introduction of Carbon Price Signals on Prices, Production Trends, Carbon Emissions and Power Flows in the NEM for the period 2007-2009," Energy Economics and Management Group Working Papers 4-2012, School of Economics, University of Queensland, Australia.
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