Matching demand with supply in the smart grid using agent-based multiunit auction

2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013

Volumn , Issue , 2013, Pages

  Wijaya, Tri Kurniawan ^a   Larson, Kate ^b   Aberer, Karl ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED; DEMAND-SIDE; ELECTRICITY GENERATION COST; FUTURE VISIONS; MULTI-UNIT AUCTION; PEAK TO AVERAGE RATIOS; SMART GRID; SUPPLY SIDES; SYSTEM COSTS;

COMMUNICATION SYSTEMS; ELECTRIC GENERATORS; SMART POWER GRIDS;

COST REDUCTION;

EID: 84874764313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMSNETS.2013.6465595     Document Type: Conference Paper

References (13)

1. "Benefits of demand response in electricity markets and recommendations for achieving them," U. S. Dept. of Energy, Tech. Rep. , 2006.
2. J. Bower and D. Bunn, "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the england and wales electricity market," Journal of Economic Dynamics and Control, vol. 25, no. 34, pp. 561-592, 2001.
3. P. Cappers, C. Goldman, and D. Kathan, "Demand response in u. s. electricity markets: Empirical evidence," Energy, vol. 35, no. 4, 2010.
4. J. Contreras, O. Candiles, J. De La Fuente, and T. Gomez, "Auction design in day-ahead electricity markets," IEEE Transactions on Power Systems, vol. 16, no. 1, pp. 88-96, Feb 2001.
5. T. Ganu, D. P. Seetharam, V. Arya, R. Kunnath, J. Hazra, S. A. Husain, L. C. De Silva, and S. Kalyanaraman, "nplug: a smart plug for alleviating peak loads," in Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet, ser. e-Energy '12. New York, NY, USA: ACM, 2012, pp. 30:1-30:10.
6. J.-Y. Le Boudec and D.-C. Tomozei, "Demand response using service curves," in IEEE PES-ISGT, 2011.
7. N. Li, L. Chen, and S. H. Low, "Optimal demand response based on utility maximization in power networks," in Proceedings of the 2011 IEEE Power & Energy Society General Meeting, July 2011.
8. A. Mohsenian-Rad, V. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, "Autonomous demand-side management based on gametheoretic energy consumption scheduling for the future smart grid," IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 320-331, Dec. 2010.
9. H. S. Oh and R. Thomas, "Demand-side bidding agents: Modeling and simulation," IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 1050-1056, Aug. 2008.
10. S. D. Ramchurn, P. Vytelingum, A. Rogers, and N. R. Jennings, "Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence," Commun. ACM, vol. 55, no. 4, pp. 86-97, Apr. 2012.
11. S. D. Ramchurn, P. Vytelingum, A. Rogers, and N. Jennings, "Agentbased control for decentralised demand side management in the smart grid," in The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 1, ser. AAMAS '11. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 2011, pp. 5-12.
12. G. Strbac, "Demand side management: Benefits and challenges," Energy Policy, vol. 36, no. 12, pp. 4419-4426, 2008.
13. P. Vytelingum, T. Voice, S. D. Ramchurn, A. Rogers, and N. R. Jennings, "Theoretical and practical foundations of large-scale agent-based microstorage in the smart grid," J. Artif. Intell. Res. (JAIR), vol. 42, pp. 765-813, 2011.