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A hybrid simulation framework to assess the impact of renewable generators on a distribution network
Conference paper   Open access   Peer reviewed

A hybrid simulation framework to assess the impact of renewable generators on a distribution network

F Boulaire, Mark Utting, R Drogemuller, G Ledwich and I Ziari
Proceedings of the 2012 Winter Simulation Conference (WSC), pp.1-12
Winter Simulation Conference (WSC), 2012 (Berlin, Germany, 09-Dec-2012–12-Dec-2012)
IEEE Publishing Inc.
2012
DOI: https://doi.org/10.1109/WSC.2012.6465000
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https://doi.org/10.1109/WSC.2012.6465000View
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Abstract

simulation framework agent-based modeling (ABM) particle swarm optimization (PSO)
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. © 2012 IEEE.

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