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

Published: 09 December 2012 Publication History

Abstract

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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  • (2013)A hybrid simulation model for large-scaled electricity generation systemsProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676218(1881-1892)Online publication date: 8-Dec-2013

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cover image ACM Conferences
WSC '12: Proceedings of the Winter Simulation Conference
December 2012
4271 pages

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Winter Simulation Conference

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Published: 09 December 2012

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WSC '12
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WSC '12: Winter Simulation Conference
December 9 - 12, 2012
Berlin, Germany

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WSC '12 Paper Acceptance Rate 189 of 384 submissions, 49%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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  • (2013)A hybrid simulation model for large-scaled electricity generation systemsProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676218(1881-1892)Online publication date: 8-Dec-2013

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