Emission pricing and locational signal impact on generation portfolio in large scale Queensland network

Hasan, Kazi Nazmul, Saha, Tapan Kumar and Eghbal, Mehdi (2012). Emission pricing and locational signal impact on generation portfolio in large scale Queensland network. In: 2012 IEEE Power and Energy Society General Meeting. 2012 IEEE Power and Energy Society General Meeting, San Diego, United States, (1-8). 22-26 July 2012. doi:10.1109/PESGM.2012.6345173

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Author Hasan, Kazi Nazmul
Saha, Tapan Kumar
Eghbal, Mehdi
Title of paper Emission pricing and locational signal impact on generation portfolio in large scale Queensland network
Conference name 2012 IEEE Power and Energy Society General Meeting
Conference location San Diego, United States
Conference dates 22-26 July 2012
Proceedings title 2012 IEEE Power and Energy Society General Meeting
Journal name IEEE Power and Energy Society General Meeting
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/PESGM.2012.6345173
ISBN 9781467327275
9781467327282
ISSN 1944-9925
Start page 1
End page 8
Total pages 8
Collection year 2013
Language eng
Formatted Abstract/Summary
The evolving generation planning paradigm has been shifting from reliability-driven to market-driven, and further to environment-driven arena, while cumulatively adding up these consecutive objectives. The emerging issues of the electricity market and emission pricing inherently fetch uncertainties in the  planning horizon. This study evaluates the ‘screening-curve based’ least-cost generation entry along with the ‘market-based’ profit-maximizing generation investment. A Markov Chain Monte
Carlo based scheme is implemented in the abovementioned algorithms to capture the uncertainty of electricity price. The locational signals of the generation resources are also included in the model. This paper analyzes possible impacts on the
generation portfolio and electricity price that may emerge due to the employment of the ‘Clean Energy Bill, 2011’ in the Australian National Electricity Market (NEM). An analytical study is presented in this paper, simulating the proposed framework to
the Queensland network of the Australian NEM. Simulation results show market signals for generation investments, highlighting considerable change in the energy matrix and electricity price in the coming decade.
Keyword Generation investments
Screening curve
Emission pricing
Annual revenue
Geothermal power generation
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Sat, 08 Sep 2012, 13:37:06 EST by Kazi Hasan on behalf of School of Mechanical and Mining Engineering