A stochastic approximation approach to load shedding inpower networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 6464-6468

  Gatsis, Nikolaos ^a   Marques, Antonio G ^b  

^a The University of Texas at San Antonio   (United States)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

Dual stochastic subgradients; load shedding; smart grid; stochastic approximation

Indexed keywords

APPROXIMATION THEORY; COMPLEX NETWORKS; ELECTRIC BATTERIES; SCHEDULING; STOCHASTIC SYSTEMS;

DUAL STOCHASTIC SUBGRADIENTS; ENERGY PROCUREMENT; LOAD-SHEDDING; REAL-TIME DECISIONS; RENEWABLE ENERGIES; SMART GRID; STOCHASTIC APPROXIMATIONS; SUB-GRADIENT METHODS;

SIGNAL PROCESSING;

EID: 84905229818     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854849     Document Type: Conference Paper

References (23)

1. J. Zhu, Optimization of power system operation, Wiley-IEEE, Hoboken, NJ, 2009.
2. D. Xu and A. A. Girgis, "Optimal load shedding strategy in power systems with distributed generation," in Proc. IEEE Power Engineering Society Winter Meeting, Columbus, OH, Jan. 2001, vol. 2, pp. 788-793.
3. L. Jiang and S. H. Low, "Real-time demand response with uncertain renewable energy in smart grid," in Proc. 49th Allerton Conf. Communications, Control, and Computing, Monticello, IL, Sept. 2011, pp. 1334-1341.
4. M. He, S. Murugesan, and J. Zhang, "Multiple timescale dispatch and scheduling for stochastic reliability in smart grids with wind generation integration," in Proc. IEEE INFOCOM, Shanghai, China, Apr. 2011, pp. 461-465.
5. A. Papavasiliou and S. S. Oren, "Supplying renewable energy to deferrable loads: Algorithms and economic analysis," in Proc. IEEE Power and Energy Society General Meeting, Minneapolis, MN, July 2010, pp. 1-8.
6. I. Koutsopoulos, V. Hatzi, and L. Tassiulas, "Optimal energy and storage control policies for the smart power grid," in Proc. 2nd IEEE Int. Conf. Smart Grid Communications, Brussels, Belgium, Oct. 2011, pp. 475-480.
7. M. J. Neely, A. S. Tehrani, and A. G. Dimakis, "Efficient algorithms for renewable energy allocation to delay tolerant consumers," in Proc. 1st Int. Conf. Smart Grid Communications, Gaithersburg, MD, Oct. 2010, pp. 549-554.
8. L. Huang, J. Walran, and K. Ramchandran, "Optimal demand response with energy storage management," May 2012, http://arxiv. org/abs/1205. 4297/.
9. A. Conejo, M. Carrion, and J. M. Morales, Decision Making Under Uncertainty in Electricity Markets, Springer, New York, NY, 2010.
10. S. V. Dhople and A. D. Dominguez-Garcia, "A framework to determine the probability density function for the output power of wind farms," in Proc. North American Power Symp., Urbana, IL, Sept. 2012.
11. J. A. Carta, P. Ramírez, and S. Velazquez, "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary islands," Renew. Sust. Energ. Rev., vol. 13, pp. 933-955, 2009.
12. M. Chiang, S. H. Low, A. R. Calderbank, and J. C. Doyle, "Layering as optimization decomposition: A mathematical theory of network architectures," Proc. of the IEEE, vol. 95, no. 1, pp. 255-312, Jan. 2007.
13. J. Fernandez-Bes, A. G. Marques, and J. Cid-Sueiro, "Batteryaware selective communications in energy-harvesting sensor networks: Optimal solution and stochastic dual approximation," in Proc. 10th Int. Symp. Wireless Communication Systems, Aug. 2013.
14. D. Bertsekas, A. Nedic, and A. E. Ozdaglar, Convex Analysis and Optimization, Athena Scientic, 2003.
15. A. G. Marques, G. B. Giannakis, and J. Ramos, "Optimizing orthogonal multiple access based on quantized channel state information," IEEE Trans. Sig. Proc., vol. 59, no. 10, pp. 5023-5038, Oct. 2011.
16. N. Gatsis, A. Ribeiro, and G. B. Giannakis, "A class of convergent algorithms for resource allocation in wireless fading networks," IEEE Trans. Wireless Commun., vol. 9, no. 5, pp. 1808-1823, May 2010.
17. 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, June 2012.
18. L. Georgiadis, M. J. Neely, and L. Tassiulas, "Resource allocation and cross-layer control in wireless networks," Foundations and Trends in Networking, vol. 1, no. 1, pp. 1-144, 2006.
19. A. G. Marques, X. Wang, and G. B. Giannakis, "Dynamic resource management for cognitive radios using limited-rate feedback," IEEE Trans. Sig. Proc., vol. 57, no. 9, pp. 3651-3666, Sep. 2009.
20. A. Ribeiro, "Ergodic stochastic optimization algorithms for wireless communication and networking," IEEE Trans. Sig. Proc., vol. 58, no. 12, pp. 6369-6386, Dec. 2010.
21. A. G. Marques, L. M. Lopez-Ramos, G. B. Giannakis, J. Ramos, and A. Caamano, "Optimal cross-layer resource allocation in cellular networks using channel and queue state information," IEEE Trans. Veh. Technol., vol. 61, no. 6, pp. 2789-2807, Jul. 2012.
22. H. Lee Willis, Power Distribution Planning Reference Book, CRC Press, New York, NY, 2nd edition, 2004.
23. Y. Zhang, N. Gatsis, and G. B. Giannakis, "Risk-constrained energy management with multiple wind farms," in Proc. IEEE Innovative Smart Grid Technologies Conf., Washington, D. C., Feb. 2013.