ACCS Seminar: Confirmation Seminar

Time: Thursday 3rd April 2008 , 10:30 morning Tea, 11:00am seminar

Place: Room 420, GP South (Building 78), Morning Tea, Room 423 (Tea Room on level 4)

Speaker: Xun Zhou, PhD Candidate, School of ITEE, UQ

Title: Advanced Computational Techniques for Electricity Market Analysis considering Sustainable Energy Supply Issues

Electricity industries worldwide are undergoing rapid and widespread changes. These have been largely driven by the market-oriented restructuring underway in many countries and the increasing global
environmental concerns about climate change. For the purpose of avoiding serious consequences caused by climate change, Australian government is proposing an emission trading scheme (ETS) and planning to implement it from 2010. ETS is considered as the best option of using market mechanism to achieve GHG emissions abatement in the most cost-effective way. As power generations are the major sources of Greenhouse Gas (GHG) emissions, once the ETS is implemented, there will have far-reaching
influences on the Australian power industry both economically and technically. On the one hand, ETS will increase extra costs for fossil fuel generators and create uncertainties for power industry investment;
on the other hand, ETS will encourage the innovation and penetration of renewable and low emission generation technologies. Distributed Generations (DGs) is one of the typical applications since most of DGs
are low emissions and environmental friendly which can contribute to the reduction of GHGs. However, applications of DGs in large scale have faced complex control challenges in the operation of a low voltage (LV) grid that need to be solved before the benefits of DGs can be realised. For this PhD research, we will first assess and quantify the potential impact on, and change in, economic efficiency in the electricity
generation sector in Australian national electricity market after the implementation of ETS, as opposed to without the introduction of ETS. Afterward, environmental benefits of Distributed Generations (DGs) under
ETS will be studied. Finally, we will study and provide tools for the intelligently control of DG resources to facilitate their widespread adoption, aiming at using multi-agent technologies to design and develop
an intelligent Microgrid framework to optimize the operation of DGs through minimize costs and GHG emissions.


Xun Zhou, received his Masters degrees from University of   Wollongong in 2003 and University of Queensland in 2005. He is now a lecturer at School of electronic and information engineering, The Central South University of Forestry and Technology (China) and a Ph.D student in the Information Technology and Electrical Engineering School of the University of Queensland.

Dr. Ariel Liebman
Research Fellow
ARC Centre for Complex Systems
School of ITEE, University of Queensland
tel: +61-7-3365-1623
mobile: +61-(0)414-226-336
room: 78-414, GP South, St Lucia Campus

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