Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid

IEEE Journal on Selected Topics in Signal Processing

Volumn 8, Issue 6, 2014, Pages 1084-1097

  Liu, Yi ^a,b   Yuen, Chau ^b   Huang, Shisheng ^b   Ul Hassan, Naveed ^c   Wang, Xiumin ^d   Xie, Shengli ^a  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN   (Singapore)

^c LAHORE UNIVERSITY OF MANAGEMENT SCIENCES   (Pakistan)

^d HEFEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

consumer's preference; Demand side management; energy consumption scheduling scheme; peak to average ratio; smart grid

Indexed keywords

COSTS; DOMESTIC APPLIANCES; ELECTRIC UTILITIES; ENERGY UTILIZATION; MULTIOBJECTIVE OPTIMIZATION; SCHEDULING;

CONSUMER'S PREFERENCES; DEMAND SIDE MANAGEMENTS; PEAK-TO-AVERAGE RATIO; SCHEDULING SCHEMES; SMART GRID;

SMART POWER GRIDS;

EID: 84913526308     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2014.2332301     Document Type: Article

References (36)

1. R. Yu, Y. Zhang, S. Gjessing, Y. Chau, S. Xie, and M. Guizani, "Cognitive radio based hierarchical communication architecture for smart grid," IEEE Netw. Mag., vol. 25, no. 5, pp. 6-14, Sep./Oct. 2011.
2. The Smart Grid: An Introduction The US Department of Energy, 2008.
3. R. Yu, C. Zhang, X. Zhang, L. Zhou, and K. Yang, "Hybrid spectrum access in cognitive radio based smart grid communications networks," IEEE Syst. J., vol. 8, no. 2, pp. 577-587, Jun. 2014.
4. R. Yu, Y. Zhang, Y. Chen, C. Huang, Y. Xiao, and M. Guizani, "Distributed rate and admission control in home M2M networks: A non-cooperative game approach," in Proc. IEEE INFOCOMWorkshop M2MCN, Apr. 2011, pp. 196-200, 2011.
5. R. Yu, Y. Zhang, S. Gjessing, C. Yuen, S. Xie, and M. Guizani, "Cognitive radio based hierarchical communications infrastructure for smart grid," IEEE Netw. Special Iss.Commun. Infrastructures for Smart Grid, pp. 6-14, Oct. 2011.
6. R. Yu, Y. Zhang, and R. Gao, "Energy-efficient and reliability-driven cooperative communications in cognitive body area networks,"Mobile Netw. Applicat. (MONET), vol. 16, no. 6, pp. 733-744, 2011.
7. R. Yu, Y. Zhang, C. Huang, and R. Gao, "Joint admission and rate control for multimedia sharing in wireless home networks," Elsevier Comput. Commun., vol. 33, no. 14, pp. 1632-1644, Sep.. 1, 2010.
8. Y. Zhang, R. Yu, M. Nekovee, Y. Liu, S. Xie, and S. Gjessing, "Cognitivemachine- to-machine communications: Visions and potentials for the smart grid," IEEE Netw., vol. 26, no. 3, pp. 6-13, May-Jun. 2012.
9. P. Siano, "Demand response and smart grids-A survey," Renewable Sustain. Energy Rev., vol. 30, pp. 461-478, 2014.
10. A. Zakariazadeh, S. Jadid, and P. Siano, "Economic-environmental energy and reserve scheduling of smart distribution system:Amultiobjectivemathematical programming approach," Energy Convers. Manage., vol. 78, pp. 151-164, 2014.
11. A. Zakariazadeh, H. Omid, J. Shahram, and P. Siano, "A new approach for real time voltage control using demand response in an automated distribution system," Appl. Energy, vol. 117, pp. 157-166, 2014.
12. A. Zakariazadeh, S. Jadid, and P. Siano, "Multi-objective scheduling of electric vehicles in smart distribution system," Energy Convers. Manage., vol. 79, pp. 43-53, 2014.
13. W. Saad, Z. Han, H. V. Poor, and T. Basar, "Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications," IEEE Signal Process. Mag., vol. 29, no. 5, pp. 86-105, Sep. 2012.
14. B. Ramanathan and V. Vittal, "A framework for evaluation of advanced direct load control with minimum disruption," IEEE Trans. Power Syst., vol. 23, no. 4, pp. 1681-1688, Nov. 2008.
15. M. A. A. Pedrasa, T. D. Spooner, and I. F. MacGill, "Scheduling of demand side resources using binary particle swarm optimization," IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1173-1181, Aug. 2009.
16. G. Koutitas and L. Tassiulas, "Delay based optimization scheme for peak load reduction in the smart grid," in Proc. 3rd Int. Conf. Future Energy Syst., 2012, e-Energy'12 Proceedings of.
17. R. Yu, Y. Zhang, and M. Huang, "Cross-layer optimized call admission control in cognitive radio networks," Mobile Netw. Applicat. (MONET), vol. 15, no. 5, pp. 610-626, 2010.
18. N. Hassan, X. Wang, S. Huang, and C. Yuen, "Demand shaping to achieve steady electricity consumption with load balancing in a smart grid," in Proc. IEEE Innovative Smart Grid Technol. (ISGT), 2013, pp. 1-6.
19. Y. Liu, N. Hassan, S. Huang, and C. Yuen, "Electricity cost minimization for a residential smart grid with distributed generation and bidirectional power transactions," in Proc. IEEE Innovative Smart Grid Technol. (ISGT), 2013, pp. 1-6.
20. Y. Liu, C. Yuen, X. Cao, N. Hassan, and J. Chen, "Design of a scalable hybrid MAC protocol for heterogeneous M2M networks," IEEE Internet Things J., vol. 1, no. 1, pp. 99-111, Feb. 2014.
21. N. Hassan, M. A. Pasha, C. Yuen, S. Huang, and X. Wang, "Impact of scheduling flexibility on demand profile flatness and user inconvenience in residential smart grid system," Energies, vol. 6, no. 12, pp. 6608-6635, Dec. 2013.
22. W. Yushar, B. Chai, C. Yuen, D. B. Smith, and H. V. Poor, "Energy management for a user interactive smart community: A Stackelberg game approach," in IEEE Proc. IEEE Innovative Smart Grid Technol. (ISGT) Asia, 2014.
23. A.-H. Mohsenian-Rad, V. W. S. 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.
24. S. Huang, J. Xiao, J. Pekny, F. Reklaitis, G. V., and A. L. Liu, "Quantifying system-level benefits from distributed solar and energy storage," J. Energy Eng., vol. 138, no. 2, pp. 33-42, 2011.
25. F. A. Wolak, "Diagnosing the California electricity crisis," Electricity J., vol. 16, no. 7, pp. 11-37, 2003.
26. Z. Zhu, J. Tang, S. Lambotharan, W. H. Chin, and Z. Fan, "An integer linear programming and game theory based optimization for demandside management in smart grid," in Proc. IEEE Globecom Workshops, 2011, pp. 1205-1210.
27. D. Srinivasan and T. Z. Shun, "Demand side management in smart grid using heuristic optimization," IEEE Trans. SmartGrid, vol. 3, no. 3, pp. 1244-1252, Sep. 2012.
28. C. Cecati, C. Citro, and P. Siano, "Combined operations of renewable energy systems and responsive demand in a smart grid," IEEE Trans. Sustainable Energy, vol. 2, no. 4, pp. 468-476, Oct. 2011.
29. J. D. Hobby, A. Shoshitaishvili, and G. H. Tucci, "Analysis and methodology to segregate residential electricity consumption in different taxonomies," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 217-224, Mar. 2012.
30. N. Gatsis and G. B. Giannakis, "Residential load control: Distributed scheduling and convergence with lost AMI messages," IEEE Trans. Smart Grid, vol. 3, no. 2, pp. 770-786, Sep. 2012.
31. J. Lunden, S. Werner, and V. Koivunen, "Distributed demand-side optimization with load uncertainty," in Proc. ICASSP' 13, Vancouver, BC, Canada, May 2013, pp. 5229-5232.
32. British Columbia Hydro Conservation Electricity Rates, 2009 [Online]. Available: https://www.bchydro.com/youraccount/content/residential-inclining-block.jsp
33. S. Huang, B.-M. S. Hodge, F. Taheripour, J. F. Pekny, G. V. Reklaitis, and W. E. Tyner, "The effects of electricity pricing on PHEV competitiveness," Energy Policy, vol. 39, no. 3, pp. 1552-1561, Mar. 2011.
34. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, MA, USA: Cambridge Univ. Press, 2004.
35. K. Schittkowski, "NLQPL: A FORTRAN-subroutine solving constrained nonlinear programming problems," Ann. Operat. Res., vol. 5, pp. 485-500, 1985.
36. D. P. Bertsekas, Nonlinear programming, 2nd ed. Cambridge, MA, USA: MIT Press, 2008.