A hybrid simulation framework to assess the impact of renewable generators on a distribution network
Boulaire, Fanny A., Utting, Mark, Drogemuller, Robin, Ledwich, Gerard, & Ziari, Iman (2012) A hybrid simulation framework to assess the impact of renewable generators on a distribution network. In Proceedings of the 2012 Winter Simulation Conference, Berlin, Germany.
With an increasing number of small-scale renewable generator installations, distribution network planners are faced with new technical challenges (intermittent load flows, network imbalances…). Then again, these decentralized generators (DGs) present opportunities regarding savings on network infrastructure if installed at strategic locations. How can we consider both of these aspects when building decision tools for planning future distribution networks? This paper presents a simulation framework which combines two modeling techniques: agent-based modeling (ABM) and particle swarm optimization (PSO). ABM is used to represent the different system units of the network accurately and dynamically, simulating over short time-periods. PSO is then used to find the most economical configuration of DGs over longer periods of time. The infrastructure of the framework is introduced, presenting the two modeling techniques and their integration. A case study of Townsville, Australia, is then used to illustrate the platform implementation and the outputs of a simulation.
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|Item Type:||Conference Paper|
|Keywords:||Agent-Based Modelling, Particle Swarm Optimisation, Modular, Electricity Distribution network, Planning Tool|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
|Divisions:||Current > Schools > School of Design
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 please consult the authors|
|Deposited On:||11 Jan 2013 02:15|
|Last Modified:||17 Jan 2013 17:03|
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