The role of aggregators in smart grid demand response markets

IEEE Journal on Selected Areas in Communications

Volumn 31, Issue 7, 2013, Pages 1247-1257

  Gkatzikis, Lazaros ^a   Koutsopoulos, Iordanis ^b   Salonidis, Theodoros ^c  

^a UNIVERSITY OF THESSALY   (Greece)

^b ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

^c IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

aggregator; demand response; electricity market; game theory; optimization theory; smart grid

Indexed keywords

AGGREGATOR; DEMAND RESPONSE; ELECTRICITY MARKET; OPTIMIZATION THEORY; SMART GRID;

GAME THEORY; SITE SELECTION;

SMART POWER GRIDS;

EID: 84880220064     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2013.130708     Document Type: Article

References (16)

1. H. Allcott, "Rethinking real-time electricity pricing," Resource and Energy Economics, vol. 33, no. 4, pp. 820 - 842, 2011.
2. Pacific Gas and Electric Company, "Commercially available aggregator programs in California," 2011. [Online]. Available: http://www.pge. com/mybusiness/energysavingsrebates/demandresponse/
3. "Energy Pool: European Demand Response Operator," www.energy-pool.eu.
4. A. Papavasiliou, H. Hindi, and D. Greene, "Market-based control mechanisms for electric power demand response," in Proc. IEEE Conf. on Decision and Control (CDC), Dec. 2010, pp. 1891 -1898.
5. H. Kim and M. Thottan, "A two-stage market model for microgrid power transactions via aggregators," Bell Labs Technical Journal, vol. 16, no. 3, pp. 101-107, 2011.
6. I. Koutsopoulos and L. Tassiulas, "Optimal control policies for power demand scheduling in the smart grid," IEEE J. Sel. Areas Commun., vol. 30, no. 6, pp. 1049 -1060, July 2012.
7. P. Samadi, A. Mohsenian-Rad, R. Schober, V. Wong, and J. Jatskevich, "Optimal real-time pricing algorithm based on utility maximization for smart grid," in Proc. IEEE Int. Conf. on Smart Grid Commun. (IEEE SmartGridComm), Oct. 2010, pp. 415 -420.
8. L. Chen, N. Li, L. Jiang, and S. Low, "Optimal demand response: problem formulation and deterministic case," Control and Optimization Theory for Electric Smart Grids, vol. 3, no. 15, pp. 63-86, 2012.
9. A. Migdalas, P. Pardalos, and P. Värbrand, Multilevel optimization: algorithms and applications. Springer, 1997, vol. 20.
10. I. Richardson, M. Thomson, D. Infield, and C. Clifford, "Domestic electricity use: A high-resolution energy demand model," Energy and Buildings, vol. 42, no. 10, pp. 1878-1887, 2010.
11. R. S. P. Samadi and V. W. Wong, "Optimal energy consumption scheduling using mechanism design for the future smart grid," in Proc. IEEE Int. Conf. on Smart Grid Commun. (IEEE SmartGridComm), Oct. 2011.
12. L. Gkatzikis, T. Salonidis, N. Hegde, and L. Massoulie, "Electricity markets meet the home through demand response," in Proc. IEEE Conf. on Decision and Control (CDC), Dec. 2012, pp. 5846 -5851.
13. N. Gatsis and G. Giannakis, "Cooperative multi-residence demand response scheduling," in Proc. Conf. on Information Sciences and Systems (CISS), 2011, March 2011, pp. 1 -6.
14. L. Huang, J.Walrand, and K. Ramchandran, "Optimal smart grid tariffs," in Information Theory and Applications Workshop (ITA), Feb. 2012.
15. H. Hindi, D. Greene, and C. Laventall, "Coordinating regulation and demand response in electric power grids using multirate model predictive control," in Proc. IEEE PES Conf. on Innovative Smart Grid Tech., Jan. 2011, pp. 1 -8.
16. P. Srikantha, C. Rosenberg, and S. Keshav, "An analysis of peak demand reductions due to elasticity of domestic appliances," in Proc. E-Energy Conf. New York, NY, USA: ACM, 2012, pp. 28:1-28:10.