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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.

References

[1]
Australian Government. (2011). "Renewable Energy Target." Retrieved 23/08/2011, 2011, from http://www.climatechange.gov.au/government/initiatives/renewable-target.aspx.
[2]
Australian Government. (2012). "The Small-scale Renewable Energy Scheme (SRES)." Retrieved 02/04/2012, 2012, from http://ret.cleanenergyregulator.gov.au/About-the-Schemes/Small-scale-Renewable-Energy-Scheme--SRES-/about-sres.
[3]
Berryman, M. (2008). "Review of Software Platforms for Agent Based Models". D. S. T. O. Department of Defense.
[4]
Chassin, D. P., K. Schneider and C. Gerkensmeyer (2008). "GridLAB-D: An open-source power systems modeling and simulation environment". Transmission and Distribution Conference and Exposition, 2008: 1--5.
[5]
Connolly, D., H. Lund, B. V. Mathiesen and M. Leahy (2010). "A review of computer tools for analysing the integration of renewable energy into various energy systems." Applied Energy 87(4): 1059--1082.
[6]
Del Valle, Y., G. K. Venayagamoorthy, S. Mohagheghi, J. C. Hernandez and R. G. Harley (2008). "Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems." IEEE Transactions On Evolutionary Computation 12(2): 171--195.
[7]
Ergon Energy. (2010). "Network Management Plan Part B: Electricity Supply for Regional Queensland 2010--11 to 2014--15."
[8]
Foley, A. M., B. P. Ó Gallachóir, J. Hur, R. Baldick and E. J. Mckeogh (2010). "A strategic review of electricity systems models." Energy 35(12): 4522--4530.
[9]
Hall, P. (2011). "Queensland State Government admits electricity grid failing to cope with solar power systems". Courier Mail. Brisbane.
[10]
Jackson, S. K., S. F. Railsback and S. L. Lytinen (2006). "Agent-based Simulation Platforms: Review and Development Recommendations." Simulation 82(9): 609--623.
[11]
Kirby, B. and M. Milligan (2008). "Facilitating Wind Development: The Importance of Electric Industry Structure". National Renewable Energy Laboratory.
[12]
Komor, P. (2009). "Wind and Solar Electricity: Challenges and Opportunities". PEW Center on Global Climate Change. University of Colorado.
[13]
Ledwich, G., R. Drogemuller, M. Utting, I. Ziari, F. Boulaire and A. Abeygunawardana (2012). "Planning Future Energy Grids: Renewables - Project Milestone Report". Queensland University of Technology: 1--36.
[14]
Luke, S., C. Cioffi-Revilla, L. Panait, K. Sullivan and G. Balan (2005). "MASON: A Multi-Agent Simulation Environment." Simulation: Transactions of the society for Modeling and Simulation International 82(7): 517--527.
[15]
Macal, C. M. and M. J. North (2005). "Agent-Based Modeling And Simulation". 2005 Winter Simulation Conference.
[16]
Macal, C. M. and M. J. North (2006). "Tutorial On Agent-Based Modeling And Simulation Part 2: How To Model With Agents". Winter Simulation Conference, Monterey, California, USA.
[17]
Mcaffer, J. and J.-M. Lemieux (2006). "Eclipse Rich Client Platform: designing, coding, and packaging Java applications". Upper Saddle River, NJ, Addison-Wesley.
[18]
Najlis, R., M. A. Janssen and D. C. Parker (2001). "Software Tools and Communication Issues". Proceedings of a Special Workshop on Land-Use/Land-Cover Change, Irvine, California.
[19]
National Renewable Energy Laboratory. (2012). "PVWatts - A Performance Calculator for Grid-Connected PV Systems." Retrieved 05/01/2012, 2012, from http://rredc.nrel.gov/solar/calculators/PVWATTS/version1/version1_index.html.
[20]
Nikolai, C. and G. Madey (2009). "Tools of the Trade: A Survey of Various Agent Based Modeling Platforms." Journal of Artificial Societies and Social Simulation 12(2): 2.
[21]
Powertech Labs Inc. (2012). "DSATools - Dynamic Security Assessment Software." Retrieved 23/05/2012, 2012, from http://www.dsatools.com/.
[22]
Queensland Government (2009). "Securing Queensland's Energy Future: Regulation for Electricity Demand Management". Queensland Government - Office of Climate Change.
[23]
Queensland Government. (2011). "Solar Bonus Scheme." Retrieved 02/04/2012, 2012, from http://ret.cleanenergyregulator.gov.au/About-the-Schemes/Small-scale-Renewable-Energy-Scheme--SRES-/about-sres.
[24]
Roam Consulting. (2012). "2-4-C Lite." From http://www.roamconsulting.com.au/24CLite/index24C.php.
[25]
Schutte, S., S. Scherfke and M. Sonnenschein (2012). "mosaik - Smart Grid Simulation API". SmartGreens 2012, SciTePress.
[26]
Wikipedia. (2011, 9 August 2011). "Agent-based model." Retrieved 23/08/2011, 2011, from http://en.wikipedia.org/wiki/Agent-based_model.
[27]
Ziari, I., G. Ledwich, A. Ghosh, D. Cornforth and M. Wishart (2010). "Optimal allocation and sizing of capacitors to minimize the transmission line loss and to improve the voltage profile." Computers and Mathematics with Applications 60(4): 1003--1013.

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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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