PL EN


Preferences help
enabled [disable] Abstract
Number of results
Journal
2015 | 1 | 1 |
Article title

Exploring Smart Grid Possibilities: A Complex
Systems Modelling Approach

Content
Title variants
Languages of publication
EN
Abstracts
EN
Smart grid research has tended to be compartmentalised,
with notable contributions from economics,
electrical engineering and science and technology studies.
However, there is an acknowledged and growing need for
an integrated systems approach to the evaluation of smart
grid initiatives. The capacity to simulate and explore smart
grid possibilities on various scales is key to such an integrated
approach but existing models – even if multidisciplinary
– tend to have a limited focus.
This paper describes an innovative and flexible framework
that has been developed to facilitate the simulation of various
smart grid scenarios and the interconnected social,
technical and economic networks from a complex systems
perspective. The architecture is described and related to
realised examples of its use, both to model the electricity
system as it is today and to model futures that have been
envisioned in the literature.
Potential future applications of the framework are explored,
along with its utility as an analytic and decision
support tool for smart grid stakeholders.
Keywords
Publisher
Journal
Year
Volume
1
Issue
1
Physical description
Dates
accepted
16 - 7 - 2015
received
20 - 8 - 2014
online
26 - 8 - 2015
References
  • [1] UK Parliament, Climate Change Act 2008
  • [2] Ofgem, Long-Term Electricity Network Scenarios (LENS) – finalreport, Ofgem, London, Final 157/08, Nov. 2008.
  • [3] D. Pudjianto, P. Djapic, M. Aunedi, C.K. Gan, G. Strbac, S. Huang,and D. Infield,Smart control for minimizing distribution networkreinforcement cost due to electrification, Energy Policy, vol. 52,pp. 76 – 84, Jan. 2013.
  • [4] C. Macal and M. North, Tutorial on agent-based modelling andsimulation, J. Simul., vol. 4, no. 3, pp. 151 – 162, Sep. 2010.
  • [5] P.O. Siebers, C. Macal, J. Garnett, D. Buxton, and M. Pidd,Discrete-event simulation is dead, long live agent-based simulation,J. Simul., vol. 4, no. 3, pp. 204 – 210, Sep. 2010.
  • [6] CASCADE, CASCADE – Complex Adaptive Systems, CognitiveAgents and Distributed Energy – a Complexity Science-Based Investigation into the Smart Grid Concept. EPSRCfunded project under grant EP/G059969/1, CASCADE – ComplexAdaptive Systems, Cognitive Agents and Distributed Energy,2010.[Online]. Available: http://www.iesd.dmu.ac.uk/~cascade/.[Accessed: 24-Jan-2011].
  • [7] J. Sun and L. Tesfatsion, Dynamic testing of wholesale powermarket designs: An open-source agent-based framework, Comput.Econ., vol. 30, no. 3, pp. 291 – 327, 2007.
  • [8] M. North, P. Thimmapuram, R. Cirillo, C. Macal, G. Conzelmann,V. Koritarov, and T. Veselka, EMCAS: An agent-based tool formodeling electricity markets, Agent 2003 Chall. Soc. Simul.,2003.
  • [9] D. Batten and G. Grozev, NEMSIM: Finding Ways to ReduceGreenhouse Gas Emissions Using Multi-Agent Electricity Modelling,in Complex Science for a Complex World: Exploring HumanEcosystemswith Agents, P. Perez and D. Batten, Eds. 2006,p. 227.
  • [10] G. Grozev, D. Batten, M. Anderson, G. Lewis, J. Mo, and J.Katzfey, NEMSIM: Agent-based Simulator for Australia’s NationalElectricity Market, in SimTecT 2005 Conference Proceedings,2005.
  • [11] A. Weidlich and D. Veit, A critical survey of agent-based wholesaleelectricity market models, Energy Econ., vol. 30, no. 4, pp.1728 – 1759, 2008.[Crossref]
  • [12] F. Sensfuß, M. Ragwitz, M. Genoese, and D. Möst, Agent-basedsimulation of electricitymarkets: a literature review, Fraunhoferinstitute for Systems and Innovation research, Working Paper S5/2007, 2007.
  • [13] K. Trangbæk, J.D. Bendtsen, and J. Stoustrup, Hierarchical Controlfor Smart Grids, IFAC Proc., 2011.
  • [14] C. Efthymiou and G. Kalogridis, Smart grid privacy viaanonymization of smart metering data, in Smart Grid Communications(SmartGridComm), 2010 First IEEE InternationalConference on, 2010, pp. 238 – 243.
  • [15] oPower, Opower, oPower.com, 2013. [Online]. Available: http://opower.com/.[Accessed: 04-Mar-2013].
  • [16] UK Parliament, The Electricity andGas (Smart Meters LicensableActivity) Order 2012, 2012.
  • [17] Repast, Repast Simphony 2.0, 2010.
  • [18] C. Ryan, Climate Change and Ecodesign, Part II, J. Ind. Ecol., vol.13, no. 3, pp. 350 – 353, 2009.[Crossref]
  • [19] D. Ilic, P.G.Da Silva, S. Karnouskos, and M. Griesemer, An energymarket for trading electricity in smart grid neighbourhoods,in Digital Ecosystems Technologies (DEST), 2012 6thIEEE International Conference on, 2012, pp. 1 – 6.
  • [20] A. Toffler, The third wave, Bantam Books New York, 1981.
  • [21] G.B. Sheble, DSMeconomicmarginal demand bidding, in Powerand Energy Society General Meeting, 2010 IEEE, 2010, pp. 1 – 7.
  • [22] T. Bruckner, R. Morrison, and T. Wittmann, Public policy modelingof distributed energy technologies: strategies, attributes,and challenges, Ecol. Econ., vol. 54, no. 2 – 3, pp. 328 – 345,2005.
  • [23] G.N. Bathurst and G. Strbac, Value of combining energy storageand wind in short-term energy and balancing markets, Electr.Power Syst. Res., vol. 67, no. 1, pp. 1 – 8, 2003.[Crossref]
  • [24] A.J. Roscoe and G. Ault, Supporting high penetrations of renewablegeneration via implementation of real-time electricity pricingand demand response, Renew. Power Gener. IET, vol. 4, no.4, pp. 369 – 382, 2010.[WoS][Crossref]
  • [25] UK Parliament, Utilities Act 2000, 2000.
  • [26] P. Boait, B.M. Ardestani, and J.R. Snape, Levelling of heating andvehicle demand in distribution networks using randomised devicecontrol, in 22nd International Conference on Electricity Distribution(CIRED), Stockholm, 2013.
  • [27] P. Boait, B.M. Ardestani, and J.R. Snape, Accommodating renewablegeneration through an aggregator-focused method for inducingdemand side response from electricity consumers, Renew. Power Gener. IET, vol. 7, no. 6, pp. 689 – 699, Nov. 2013.[WoS][Crossref]
  • [28] V.H. Pakka, B.M. Mahdavi-Ardestani, and R.M. Rylatt, AgentbasedModelling of the UK Short Term ElectricityMarket: Effectsof Intermittent Wind Power, in Proceedings of the 9th InternationalConference on the European Energy Market (EEM12), Florence,Italy, 2012.
  • [29] P.J. Boait and J.R. Snape, Demand management for isolatedmini-grids supplied by renewable generation, Dev. Renew. EnergyTechnol. ICDRET 2014 3rd Int. Conf. On, pp. 1 – 6,May 2014.
  • [30] NESTA, Demand Shaper: Dynamic Demand Challenge:finalists announced, 25-Oct-2013. [Online]. Available:http://www.nesta.org.uk/blog/dynamic-demand-challengefinalists-announced.[Accessed: 02-Apr-2014].
  • [31] J.J. Gristey, S.T. Smith, and D.J. Brayshaw, Use of the CASCADEagent-based model to examine the UK energy system with climatereanalysis data (Walker Institute undergraduate summerbursary report). 10-Sep-2013.
  • [32] J.R. Snape, Analysing local adoption of distributed generationin response to policy incentive and modelling the wider impacton consumption, in Energy eflciency first: The foundation of alow-carbon society – Proceeding of eceee 2013 Summer Study,Belambra Presqu’île de Giens, France, 2013.
  • [33] J.R. Snape and P. Boait, Enhancing eflciency through smartcontrol: paths and policies for deployment, in Energy eflciencyfirst: The foundation of a low-carbon society - Proceedingof eceee 2013 Summer Study, Belambra Presqu’île de Giens,France, 2013.
  • [34] P. Boait and V.H. Pakka, Balancing electricity supply with distributionnetwork constraints, in 22nd International Conferenceon Electricity Distribution (CIRED), Stockholm, 2013.
  • [35] J. Bower and D. Bunn, A model-based comparison of pool andbilateral market mechanisms for electricity trading, Energy J.,vol. 21, no. 3, pp. 1 – 29, 2000.[Crossref]
  • [36] M. North, C. Macal, G. Conzelmann, V. Koritarov, P. Thimmapuram,and T. Veselka, Multi-agent electricity market modelingwith EMCAS., in Computational Analysis of Social and OrganizationalScience Conference, Pittsburgh, PA (US), 2002.
  • [37] H. Li and L. Tesfatsion, Capacity withholding in restructuredwholesale powermarkets: An agent-based test bed study, Proc.PSCE Seattle WA March, 2009.
  • [38] H. Li, J. Sun, and L. Tesfatsion, Dynamic LMP response underalternative price-cap and price-sensitive demand scenarios,2008.
  • [39] D. Aliprantis, S. Penick, L. Tesfatsion, and H. Zhao, IntegratedRetail and Wholesale Power System Operation with Smart-GridFunctionality, in IEEE Proceedings, Power and Energy SocietyGeneral Meeting, Minneapolis, MN, 2010.
  • [40] A.E. Roth and I. Erev, Learning in extensive-form games: Experimentaldata and simple dynamic models in the intermediateterm*, Games Econ. Behav., vol. 8, no. 1, pp. 164 – 212, 1995.
  • [41] DECC, Consultation on Electricity Market Reform, Departmentfor Energy and Climate Change (DECC), London, Dec. 2010.
  • [42] A. Faruqui and S. Sergici, Household response to dynamic pricingof electricity: a survey of 15 experiments, J. Regul. Econ., vol.38, no. 2, pp. 193 – 225, 2010.[WoS][Crossref]
  • [43] J.K. Kok, Z. Derzsi, J. Gordijn, M. Hommelberg, C. Warmer, R.Kamphuis, and H. Akkermans, Agent-based electricity balancingwith distributed energy resources, a multiperspective casestudy, in hicss, 2008, p. 173.
  • [44] P. Vytelingum, S.D. Ramchum, A. Rogers, and N.R. Jennings,Agent-Based Homeostatic Control for Green Energy in theSmartGrid, in Proceedings of the First International Workshop onAgent Technologies for Energy Systems (ATES 2010) at AAMAS2010,Toronto, Canada, 2010, pp. 39 – 46.
  • [45] M. Paulus and F. Borggrefe, The potential of demand-side managementin energy-intensive industries for electricity marketsin Germany, 5th Dubrov. Conf. Sustain. Dev. Energy Water Environ.Syst. Held Dubrov. Sept. 2009, vol. 88, no. 2, pp. 432 –441, Feb. 2011.
  • [46] J. Barton and R. Gammon, The production of hydrogen fuelfrom renewable sources and its role in grid operations, J. PowerSources, vol. 195, no. 24, pp. 8222 – 8235, Dec. 2010. [WoS]
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.-psjd-doi-10_1515_sgrid-2015-0001
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.