Data center power control for frequency regulation

IEEE Power and Energy Society General Meeting

Volumn , Issue , 2013, Pages

  Li, Sen ^a   Brocanelli, Marco ^a   Zhang, Wei ^a   Wang, Xiaorui ^a  

^a The Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL STRATEGIES; DYNAMIC VOLTAGE FREQUENCY SCALING; FREQUENCY REGULATIONS; LARGE-SCALE DATUM; POWER MANAGEMENT STRATEGIES; REGULATION MARKETS; SERVICE RESPONSE TIME; TIME REQUIREMENTS;

ELECTRIC POWER UTILIZATION; HAND HELD COMPUTERS; RESPONSE TIME (COMPUTER SYSTEMS);

FLUIDIZED BED COMBUSTION;

EID: 84893159911     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PESMG.2013.6672933     Document Type: Conference Paper

References (22)

1. J. Eyer and G. Corey, "Energy storage for the electricity grid: Benefits and market potential assessment guide", Sandia National Laboratories, 2010.
2. H. Hao, T. Middelkoop, P. Barooah, and S. Meyn, "How demand response from commercial buildings will provide the regulation needs of the grid"
3. T. Keep, F. Sifuentes, D. Auslander, and D. Callaway, "Using load switches to control aggregated electricity demand for load following and regulation", in Power and Energy Society General Meeting. IEEE, 2011, pp. 1-7.
4. D. Callaway, "Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy", Energy Conversion and Management, vol. 50, no. 5, pp. 1389-1400, 2009.
5. A. Molina-García, F. Bouffard, and D. Kirschen, "Decentralized demand-side contribution to primary frequency control", IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 411-419, 2011.
6. S. Govindan, A. Sivasubramaniam, and B. Urgaonkar, "Benefits and limitations of tapping into stored energy for datacenters", in 2011 38th Annual International Symposium on Computer Architecture (ISCA). IEEE, 2011, pp. 341-351.
7. J. Koomey, "Growth in data center electricity use 2005 to 2010", Oakland, CA: Analytics Press. August, 2011.
8. R. Brown et al., "Report to congress on server and data center energy efficiency: Public law 109-431", 2008.
9. S. Kaxiras and M. Martonosi, "Computer architecture techniques for power-efficiency", Synthesis Lectures on Computer Architecture, vol. 3, no. 1, pp. 1-207, 2008.
10. T. Karnik, Y. Ye, J. Tschanz, L. Wei, S. Burns, V. Govindarajulu, V. De, and S. Borkar, "Total power optimization by simultaneous dualvt allocation and device sizing in high performance microprocessors", in Proceedings of the 39th annual Design Automation Conference. ACM, 2002, pp. 486-491.
11. S. Rivoire, P. Ranganathan, and C. Kozyrakis, "A comparison of high-level full-system power models", in Proceedings of the 2008 conference on Power aware computing and systems. USENIX Association, 2008, pp. 3-3.
12. L. Barroso and U. Hölzle, "The datacenter as a computer: An introduction to the design of warehouse-scale machines", Synthesis Lectures on Computer Architecture, vol. 4, no. 1, pp. 1-108, 2009.
13. L. Rao, X. Liu, L. Xie, and W. Liu, "Minimizing electricity cost: Optimization of distributed internet data centers in a multi-electricitymarket environment", in International Conference on Computer Communacations (INFOCOM). IEEE, 2010, pp. 1-9.
14. Y. Zhang, Y. Wang, and X. Wang, "Capping the electricity cost of cloud-scale data centers with impacts on power markets", in Proceedings of the 20th international symposium on High performance distributed computing. ACM, 2011, pp. 271-272.
15. F. Ahmad and T. Vijaykumar, "Joint optimization of idle and cooling power in data centers while maintaining response time", in Sigplan Notices, vol. 45, no. 3. ACM, 2010, pp. 243-256.
16. A. Allen, Probability, statistics, and queueing theory: with computer science applications. Academic Pr, 1990.
17. G. Bolch, S. Greiner, H. de Meer, and K. Trivedi, Queueing networks and Markov chains: modeling and performance evaluation with computer science applications. Wiley-Interscience, 2006.
18. X. Wang, M. Chen, C. Lefurgy, and T. Keller, "Ship: Scalable hierarchical power control for large-scale data centers", in Parallel Architectures and Compilation Techniques, 2009. PACT'09. 18th International Conference on. IEEE, 2009, pp. 91-100.
19. "Google transparancy report", http://www.google.com/ transparencyreport/.
20. "http://www.pjm.com/markets-and-operations/ancillary-services/ mktbased-regulation/fast-response-regulation-signal.aspx."
21. http://www.pjm.com/markets-and-operations/marketsettlements/ preliminary-billing-reports/pjm-reg data.aspx.
22. PJM Manual 28: Operating Agreement Accounting, Market Compliance Department of PJM, 2012.