A Real-Time Information Based Demand-Side Management System in Smart Grid

IEEE Transactions on Parallel and Distributed Systems

Volumn 27, Issue 2, 2016, Pages 329-339

  Ye, Feng ^a   Qian, Yi ^a   Hu, Rose Qingyang ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Utah State University   (United States)

Author keywords

demand side management system; peak to average ratio; Smart grid

Indexed keywords

DEMAND SIDE MANAGEMENT; ELECTRIC UTILITIES; ELECTRONIC DATA INTERCHANGE; GAME THEORY; GREENHOUSE GASES; INFORMATION MANAGEMENT; SMART POWER GRIDS;

DISTRIBUTED APPROACHES; PEAK TO AVERAGE RATIOS; POWER SUPPLIERS; POWER USAGE; REAL-TIME DATA EXCHANGE; REAL-TIME INFORMATION; SMART GRID; THEORETICAL APPROACH;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 84962464694     PISSN: 10459219     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPDS.2015.2403833     Document Type: Article

References (25)

1. Y. Yan, Y. Qian, H. Sharif, and D. Tipper, "A survey on smart grid communication infrastructures: Motivations, requirements and challenges, " IEEE Commun. Surveys Tuts., vol. 15, no. 1, pp. 5-20, First Quarter 2013.
2. R. Ma, H.-H. Chen, Y.-R. Huang, and W. Meng, "Smart grid communication: Its challenges and opportunities, " IEEE Trans. Smart Grid, vol. 4, no. 1, pp. 36-46, Mar. 2013.
3. F. Ye, Y. Qian, and R. Hu, "Energy efficient self-sustaining wireless neighborhood area network design for smart grid, " IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 220-229, Jan. 2015.
4. J. Zhou, R. Hu, and Y. Qian, "Scalable distributed communication architectures to support advanced metering infrastructure in smart grid, " IEEE Trans. Parallel Distrib. Syst., vol. 23, no. 9, pp. 1632-1642, Sep. 2012.
5. H. Gharavi and C. Xu, "Traffic scheduling technique for smart grid advanced metering applications, " IEEE Trans. Commun., vol. 60, no. 6, pp. 1646-1658, Jun. 2012.
6. J. Ma, J. Deng, L. Song, and Z. Han, "Incentive mechanism for demand side management in smart grid using auction, " IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1379-1388, May 2014.
7. H. Soliman and A. Leon-Garcia, "Game-theoretic demand-side management with storage devices for the future smart grid, " IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1475-1485, May 2014.
8. Z. Fadlullah, D. M. Quan, N. Kato, and I. Stojmenovic, "Gtes: An optimized game-theoretic demand-side management scheme for smart grid, " IEEE Syst. J., vol. 8, no. 2, pp. 588-597, Jun. 2014.
9. T. Wijaya, K. Larson, and K. Aberer, "Matching demand with supply in the smart grid using agent-based multiunit auction, " in Proc. 5th Int. Conf. Commun. Syst. Netw., Jan. 2013, pp. 1-6.
10. A.-H. Mohsenian-Rad, V. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, "Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid, " IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 320-331, Dec. 2010.
11. Y. Wang, W. Saad, Z. Han, H. Poor, and T. Basar, "A gametheoretic approach to energy trading in the smart grid, " IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1439-1450, May 2014.
12. S. Bu and F. Yu, "A game-theoretical scheme in the smart grid with demand-side management: Towards a smart cyber-physical power infrastructure, " IEEE Trans. Emerging Topics Comput., vol. 1, no. 1, pp. 22-32, Jun. 2013.
13. Q. Zhu, Z. Han, and T. Basar, "A differential game approach to distributed demand side management in smart grid, " in Proc. IEEE Int. Conf. Commun., Jun. 2012, pp. 3345-3350.
14. H. Salehfar and A. Patton, "Modeling and evaluation of the system reliability effects of direct load control, " IEEE Trans. Power Syst., vol. 4, no. 3, pp. 1024-1030, Aug. 1989.
15. J. Kondoh, "Direct load control for wind power integration, " in Proc. IEEE Power Energy Soc. General Meeting, Jul. 2011, pp. 1-8.
16. B. Ramachandran, S. K. Srivastava, C. S. Edrington, and D. A. Cartes, "An intelligent auction scheme for smart grid market using a hybrid immune algorithm, " IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4603-4612, Oct. 2011.
17. D. Li, S. K. Jayaweera, and A. Naseri, "Auctioning game based demand response scheduling in smart grid, " in Proc. IEEE Online Conf. Green Commun., 2011, pp. 58-63.
18. (2014). Retail Sales Elect. Ultimate Customers [Online]. Available: http://www. eia. gov/electricity/monthly/epm-table-grapher. cfm?t=epmt-5-0 1
19. (2014). Net Generation Energy Source: Total (All Sectors) [Online]. Available: http://www. eia. gov/electricity/annual/html/ epa-03-01á. html
20. (2012). Renewable Energy Cost Database [Online]. Available: http:// www. epa. gov/cleanenergy/energy-resources/renewabledatabase. html
21. (2014). Your Guide Renewable Energy [Online]. Available: http:// www. renewable-energysources. com/
22. (2014). Carbon Tax Center [Online]. Available: http://www. carbontax. org
23. (2014, Apr.). Levelized Cost Levelized Avoided Cost New Generation Resources Annu. Energy Outlook 2014 [Online]. Available: http:// www. eia. gov/forecasts/aeo/electricity-generation. cfm
24. L. V. Stephen Boyd, Convex Optimization. Cambridge, U. K. : Cambridge Univ. Press, 2004.
25. J. B. Rosen, "Existence and uniqueness of equilibrium points for concave n-person games, " Econometrica: J. Econometric Soc., vol. 33, pp. 520-534, 1965.