ABSTRACT New needs and emerging societal constraints have put the emphasis on the inadequacy of the actual electrical grid. Indeed, it is impossible, or at least very hard, to 1) integrate renewable energy sources at a great scale within the actual electric grid, 2) enable communications between the various power suppliers and consumers, 3) design several different services that meet the needs of a wide range of end users. A key solution to these issues consists in using Smart Grids (SG). SG can efficiently control power flows by means of Information Technology (IT). Technically, a SG consists of a power system and a bidirectional communication system. Multi-Agent Systems (MAS) constitute a possible technology that can be applied to control and monitor the operation of power grids. Moreover, MAS exhibit distribution, adaptive and intelligent features. The goal of this paper is to propose a framework of qualification and evaluation for comparison SG approaches. First, a set of features of importance for smart grids definition is identified. Then, in a second step, some criteria are given to evaluate the impact of SG on the society. Finally, these features are applied to existing MAS approaches addressing SG in order to understand and compare their different contributions.
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G. Basso, N. Gaud, F. Gechter, V. Hilaire and F. Lauri, "A Framework for Qualifying and Evaluating Smart Grids Approaches: Focus on Multi-Agent Technologies," Smart Grid and Renewable Energy, Vol. 4 No. 4, 2013, pp. 333-347. doi: 10.4236/sgre.2013.44040.
 M. Suga, “Nedo’s Smart Grid Related Activities,” ADEME-NEDO Workshop, 2009.
 SGMM Team, “Smart Grid Maturity Model,” Technical Report CMU/SEI-2011-TR-025, 2011.
 S. Pullins, “West Virginia Smart Grid Implementation Plan,” Technical Report DOE/NETL-2009/1386, West Virginia Division of Energy, National Energy Technology Laboratory, US Department of Energy, 2009.
 “European Smart Grids Technology Platform—Vision and Strategy for Europe’s Electricity Networks of the Future,” Technical Report, European Union, 2006.
 Q.-N. N. Tran and G. C. Low. “Agent-Oriented Methodologies, Chapter XII: Comparison of Ten Agent-Oriented Methodologies, Pages 341-367,” Idea Group, 2005.
 S. D. J. McArthur, E. M. Davidson, V. M. Catterson, A. L. Dimeas, N. D. Hatziargyriou, F. Ponci and T. Funabashi, “Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges,” IEEE Transactions on Power Systems, Vol. 22, No. 4, 2007, pp. 1743-1752.
 S. D. J. McArthur, E. M. Davidson, V. M. Catterson, A. L. Dimeas, N. D. Hatziargyriou, F. Ponci and T. Funabashi, “Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-Agent Systems,” IEEE Transactions on Power Systems, Vol. 22, No. 4, 2007, pp. 17531759.
 K. Herter, T. O’Connor and L. Navarro, “A Systematic Approach for Assessing Plans to Benefit Customers and the Environment,” Technical report, Herter Energy Research Solutions, Environmental Defense Fund, 2011.
 S. J. Bossart and J. E. Bean, “Metrics and Benefits Analysis and Challenges for Smart Grid Field Projects,” 2011 IEEE Energytech, Cleveland, 25-26 May 2011, pp. 1-5.
 M. Wakefield, “Methodological Approach for Estimating the Benefits and Costs of Smart Grid Demonstration Projects,” Technical Report, Electric Power Research Institute (EPRI), 2010.
 J. K. Kok, M. J. J. Scheepers and I. G. Kamphuis, “Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation,” In R. R. Negenborn, Z. Lukszo and H. Hellendoorn, Eds., Intelligent Infrastructures, Vol. 42 of Intelligent Systems, Control and Automation: Science and Engineering, Springer, Dordrecht, 2010, pp. 179-209.
 K. H. van Dam, “Capturing Socio-Technical Systems with Agent-Based Modeling,” PhD Thesis, Delft University of Technology, Delft, 2009.
 M. H. Albadi and E. F. El-Saadany, “Demand Response in Electricity Markets: An Overview,” IEEE Power Engineering Society General Meeting, Tampa, 24-28 June 2007, pp. 1-5.
 R. H. Lasseter and P. Paigi, “Microgrid: A Conceptual Solution,” IEEE 35th Annual of Power Electronics Specialists Conference, Vol. 6, June 2004, pp. 4285-4290.
 M. Amin, “Towards Self-Healing Energy Infrastructure Systems,” IEEE Computer Applications in Power, Vol. 14, No. 1, 2001, pp. 20-28. doi:10.1109/67.893351
 S. D. Ramchurn, P. Vytelingum, A. Rogers and N. R. Jennings, “Putting the ‘Smarts’ into the Smart Grid: A Grand Challenge for Artificial Intelligence,” Communications of the ACM, Vol. 55, No. 4, 2012, pp. 86-97.
 S. Salam, “Unit Commitment Solution Methods,” World Academy of Science, Engineering and Technology 35, 2007.
 C. W. Gellings and J. H. Chamberlin. “Demand-Side Management: Concepts and Methods,” 2008.
 W. M. Adams, “The Future of Sustainability: Re-Thinking Environment and Development in the Twenty-First Century,” Report of the IUCN Renowned Thinkers Meetings, 29-31 January 2006.
 National Renewable Energy Laboratory, “Power Technologies Energy Data Book,” US Department of Energy, 2006.
 J. T. Houghton and Intergovernmental Panel on Climate Change, “Climate Change 1995: The Science of Climate change. Climate Change 1995 [Intergovernmental Panel on Climate Change]. Cambridge University Press, Cambridge, 1996.
 D. Weisser, “A Guide to Life-Cycle Greenhouse Gas (GHG) Emissions from Electric Supply Technologies,” Energy, Vol. 32, No. 9, 2007, pp. 1543-1559.
 International Energy Agency (IEA), “CO2 Emissions from Fuel Combustion,” OECD/IEA, Paris, 2011.
 C. Harris, “Electricity Markets: Pricing, Structures and Economics,” The Wiley Finance Series, John Wiley & Sons Incorporated, Hoboken, 2006.
 “Energy Efficiency Indicators, a Study of Energy Efficiency Indicators for Industry in APEC Economies,” Technical Report, Asia Pacific Energy Research Centre, Institute of Energy Economics, Tokyo, 2000.
 ADEME, “Energy Efficiency Indicators: The European Experience,” ADEME Editions, Paris, 1999.
 V. Giordano, I. Onyeji, G. Fulli, M. S. Jiménez and C. Filiou, “Guidelines for Conducting Cost-Benefit Analysis of Smart Grid Projects,” JRC Reference Reports, European Commission, 2012.
 M. Sullivan and J. Schellenberg, “Smart Grid Economics: The Cost-Benefit Analysis,” Renew Grid, 2011.
 “Performance Incentive Scheme,” Technical Report, Energy Regulatory Commission, 2005.
 “IEEE Recommended Practice for Monitoring Electric Power Quality,” IEEE Std 1159-2009 (Revision of IEEE Std 1159-1995), 2009, p. 26.
 “5th CEER Benchmarking Report on the Quality of Electricity Supply 2011,” Technical Report, Council of European Energy Regulators (CEER), 2012.
 P. M. Johnson, “Human Centered Information Integration for the Smart Grid,” Technical Report CSDL-09-15, Collaborative Software Development Laboratory, University of Hawaii at Manoa, 2009.
 T. Voolink and R. Meertens, “The Effectiveness of Electronic Feedback on Energy and Hot Water Use by Householders,” Technical Report, Maastricht University, 1999.
 J. H. van Houwelingen and W. F. van Raaij, “The Effect of Goal-Setting and Daily Electronic Feedback on InHome Energy Use,” The Journal of Consumer Research, Vol. 16, No. 1, 1989, pp. 98-105. doi:10.1086/209197
 H. Staats, P. Harland and H. Wilke, “Effecting Durable change: A Team Approach to Improve Environmental Behavior in the Household,” Environment and Behavior, Vol. 36, No. 3, 2004, pp. 341-367.
 A. Faruqui, S. Sergici and A. Sharif, “The Impact of Informational Feedback on Energy Consumption: A Survey of the Experimental Evidence,” Energy, Vol. 35, No. 4, 2009, pp. 1598-1608.
 L. Becker, “Joint Effect of Feedback and Goal Setting on Performance: A Field Study of Residential Energy Conservation,” Journal of Applied Psychology, Vol. 63, No. 4, 1978, pp. 428-433. doi:10.1037/0021-9010.63.4.428
 D. A. Cohen, “Grid Agents: Intelligent Agent Applications for Integration of Distributed Energy Resources within Distribution Systems,” IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, 20-24 July 2008, pp. 1-5.
 G. James, D. Cohen, R. Dodier, G. Platt and D. Palmer, “A Deployed Multi-Agent Framework for Distributed Energy Applications,” Proceedings of the Fifth International Joint Conference on Autonomous Agents and MultiAgent Systems, Hakodate, 8-12 May2006, pp. 676-678.
 J. M. Akkermans, F. Ygge and R. Gustavsson, “Homebots: Intelligent Decentralized Services for Energy Management,” 4th International Symposium on the Management of Industrial and Corporate Knowledge, Rotterdam, 21-22 October 1996, pp. 128-142.
 F. Ygge, R. Gustavsson and H. Akkermans, “Homebots: Intelligent Agents for Decentralized Load Management,” DA/DSM 96 Europe Distribution Automation & Demand Side Management Vienna, Vienna, 8-10 October 1996.
 M. Pipattanasomporn, H. Feroze and S. Rahman. “MultiAgent Systems in a Distributed Smart Grid: Design and Implementation,” IEEE Power Systems Conference and Exposition, Seattle, 15-18 March 2009, pp. 1-8.
 H. S. Nwana, D. T. Ndumu, L. C. Lee and J. C. Collis, “Zeus: A Toolkit for Building Distributed Multiagent Systems,” Applied Artificial Intelligence, Vol. 13, No. 1-2, 1999, pp. 129-185. doi:10.1080/088395199117513
 O. Tremblay, “A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles,” IEEE Vehicle Power and Propulsion Conference (VPPC), Arlington, 912 September 2007, pp. 284-289.
 A. Rogers, S. Maleki, S. Ghosh and N. R. Jennings, “Adaptive Home Heating Control through Gaussian Process Prediction and Mathematical Programming,” 2nd International Workshop on Agent Technology for Energy Systems (ATES 2011), Taipei, 2-3 May 2011, pp. 71-78.
 H. Rose, A. Rogers and E. H. Gerding, “Mechanism design for Aggregated Demand Prediction in the Smart Grid,” AAAI Workshop on Artificial Intelligence and Smarter Living: The Conquest of Complexity, San Francisco, 7-8 August 2011.
 H. Rose, A. Rogers and E. H. Gerding, “A Scoring Rule-Based Mechanism for Aggregate Demand Prediction in the Smart Grid,” The 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Valencia, 4-8 June 2012, pp. 661-668.
 S. Ramchurn, P. Vytelingum, A. Rogers and N. Jennings, “Agent-Based Control for Decentralised Demand Side Management in the Smart Grid,” The 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, 2-6 May 2011, pp. 5-12.
 S. Ramchurn, P. Vytelingum, A. Rogers and N. Jennings, “Agent-Based Homeostatic Control for Green Energy in the Smart Grid,” ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 4, 2011, p. 35.
 E. Gerding, V. Robu, S. Stein, D. Parkes, A. Rogers and N. Jennings, “Online Mechanism Design for Electric Vehicle Charging,” 10th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Taipei, 2-6 May 2011, pp. 811-818.
 V. Robu, S. Stein, E. Gerding, D. Parkes, A. Rogers and N. Jennings, “An Online Mechanism for Multi-Speed Electric Vehicle Charging,” 2nd International Conference on Auctions, Market Mechanisms and Their Applications (AMMA), New York, 22-23 August 2011, pp. 100-112.
 S. Stein, E. Gerding, V. Robu and N. Jennings, “A Model-Based Online Mechanism with Pre-Commitment and Its Application to Electric Vehicle Charging,” 11th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Valencia, 4-8 June 2012, pp. 669-676.
 P. Vytelingum, S. D. Ramchurn, T. D. Voice, A. Rogers, and N. R. Jennings, “Trading Agents for the Smart Electricity Grid,” The 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Toronto, 9-14 May 2010, pp. 897-904.
 S. Miller, S. D Ramchurn and A. Rogers, “Optimal Decentralised Dispatch of Embedded Generation in the Smart Grid,” 11th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Valencia, 4-8 June 2012, pp. 281-288.
 M. Alam, A. Rogers and S. Ramchurn, “A Negotiation Protocol for Multiple Interdependent Issues Negotiation over Energy Exchange,” IJCAI Workshop on AI for an Intelligent Planet, Barcelona, 16-18 July 2011.
 V. Robu, I. Vetsikas, E. Gerding and N. Jennings, “Addressing the Exposure Problem of Bidding Agents Using Flexibly Priced Options,” 19th European Conference on Artificial Intelligence (ECAI), Lisbon, 16-20 August 2010, pp. 581-586.
 “Agent-Based Micro-Storage Management for the Smart Grid,” 9th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Toronto, 9-14 May 2010, pp. 39-46.
 T. Voice, P. Vytelingum, S. Ramchurn, A. Rogers and N. Jennings, “Decentralised Control of Micro-Storage in the Smart Grid,” AAAI-11: 25th Conference on Artificial Intelligence, San Francisco, 7-11 August 2011, pp. 14211426.
 G. Chalkiadakis, V. Robu, R. Kota, A. Rogers and N. Jennings, “Cooperatives of Distributed Energy Resources for Efficient Virtual Power Plants,” 10th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Taipei, 2-6 May 2011, pp. 787-794.