Efficient and scalable demand response for the smart power grid

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Volumn , Issue , 2011, Pages 109-112

  Kim, Seung Jun ^a   Giannakis, Georgios B ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEMAND RESPONSE; DYNAMIC PRICING; ELECTRICITY COSTS; FEASIBLE SOLUTION; LAGRANGIAN RELAXATION; MIXED INTEGER LINEAR PROGRAMMING; NEAR-OPTIMAL SOLUTIONS; NUMERICAL TESTS; OPERATIONAL PERIODS; POWER LEVELS; PROXIMAL BUNDLE METHODS; SCALABLE ALGORITHMS; SUB-PROBLEMS;

COMPUTER PROGRAMMING; SENSORS;

SMART POWER GRIDS;

EID: 84863164351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2011.6135899     Document Type: Conference Paper

References (16)

1. A. Bemporad and M. Morari, "Control of systems integrating logic, dynamics, and constraints," Automatica, vol. 35, no. 3, pp. 407-427, Mar. 1999.
2. D. P. Bertsekas, Constrained Optimization and Lagrange Multiplier Methods. Belmont, MA: Athena Scientific, 1996.
3. D. P. Bertsekas, G. S. Lauer, N. R. Sandell Jr., and T. A. Posbergh, "Optimal short-term scheduling of large-scale power systems," IEEE Trans. Automatic Control, vol. AC-28, no. 1, pp. 1-11, Jan. 1983.
4. F. Borrelli, M. Baotić, A. Bemporad, and M. Morari, "Dynamic programming for constrained optimal control of discrete-time linear hybrid systems," Automatica, vol. 41, no. 10, pp. 1709-1721, Oct. 2005. (Pubitemid 41119029)
5. S. Boyd, "Ellipsoid method," 2003. [Online]. Available: http://www.stanford.edu/class/ee392o/elp.pdf
6. S. Feltenmark and K. C. Kiwiel, "Dual application of proximal bundle methods, including Lagrange relaxation of nonconvex problems," SIAM J. Optim., vol. 10, no. 3, pp. 697-721, Feb./Mar. 2000.
7. A. Frangioni, C. Gentile, and F. Lacalandra, "Solving unit commitment problems with general ramp constraints," Intl. J. Elec. Power & Energy Syst., vol. 30, no. 5, pp. 316-326, Jun. 2008. (Pubitemid 351609496)
8. K. Hamilton and N. Gulhar, "Taking demand response to the next level," IEEE Power & Energy Mag., vol. 8, no. 3, pp. 61-65, May/Jun. 2010.
9. S. Hatami and M. Pedram, "Minimizing the electricity bill of cooperative users under quasi-dynamic pricing model," in Proc. of the IEEE Intl. Conf. on Smart Grid Comm., Gaithersburg, MD, Oct. 2010, pp. 421-426.
10. K. C. Kiwiel, "Efficiency of proximal bundle methods," J. Optim. Theory and Appl., vol. 104, no. 3, pp. 589-603, Mar. 2000.
11. I. Koutsopoulos and L. Tassiulas, "Control and optimization meet the smart power grid: scheduling of power demands for optimal energy management," pp. 1-9, Aug. 2010. [Online]. Available: http://arxiv.org/abs/ 1008.3614v1
12. Z.-Q. Luo and S. Zhang, "Dynamic spectrum management: complexity and duality," IEEE J. Sel. Topics Sig. Proc., vol. 2, no. 1, pp. 57-73, Feb. 2008. (Pubitemid 351392288)
13. A.-H. Mohsenian-Rad and A. Leon-Garcia, "Optimal residential load control with price prediction in real-time electricity pricing environments," IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 120-133, Sep. 2010.
14. M. J. Neely, A. S. Tehrani, and A. G. Dimakis, "Efficient algorithms for renewable energy allocation to delay tolerant consumers," in Proc. of the IEEE Intl. Conf. on Smart Grid Comm., Gaithersburg, MD, Oct. 2010, pp. 549-554.
15. P. Samadi, A.-H. Mohsenian-Rad, R. Schober, V. W. S. Wong, and J. Jatskevich, "Optimal real-time pricing algorithm based on utility maximization for smart grid," in Proc. of the IEEE Intl. Conf. on Smart Grid Comm., Gaithersburg, MD, Oct. 2010, pp. 415-420.
16. H. P. Williams, Model Building in Mathematical Programming. John Wiley & Sons, 1978.