DocumentCode
648354
Title
Data center power control for frequency regulation
Author
Sen Li ; Brocanelli, Marco ; Wei Zhang ; Xiaorui Wang
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
The power consumption of a data center with a large number of computer servers can be controlled precisely on fast timescales, making data centers rather valuable assets to the electric grid. This paper explores the potential of using large-scale data centers to provide frequency regulation. In particular, Dynamic Voltage Frequency Scaling (DVFS) is employed to adjust the power consumptions of individual computer servers. An aggregated power response model is developed for the entire data center. Service response time model is incorporated to ensure performance of the data center. A novel power management strategy is then proposed to control the CPU frequencies of individual servers to follow a given regulation signal while respecting desired response time requirement. Simulations based on real workload traces and real regulation signals are performed. The results indicate that the regulation signal can be tracked very accurately under the proposed control strategy, and a single data center can achieve about a half-million-dollar revenue by participating in the regulation market without affecting its service quality.
Keywords
energy management systems; frequency control; network servers; power consumption; power control; power grids; power markets; DVFS; computer servers; data center; dynamic voltage frequency scaling; electric grid; frequency regulation; half-million-dollar revenue; power consumptions; power control; power management; power market; power response; regulation signal; response time requirement; service response time model; Computational modeling; Computers; Frequency control; Mathematical model; Power demand; Servers; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672933
Filename
6672933
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