DocumentCode
53920
Title
Integrated Power Management of Data Centers and Electric Vehicles for Energy and Regulation Market Participation
Author
Sen Li ; Brocanelli, Marco ; Wei Zhang ; Xiaorui Wang
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Volume
5
Issue
5
fYear
2014
fDate
Sept. 2014
Firstpage
2283
Lastpage
2294
Abstract
Large scale data centers and Plug-in Electric Vehicles (PEVs) are valuable assets that can be used to balance power grid frequency by adjusting their power consumption. This paper considers the joint power management of a data center and the PEVs of its employees for frequency regulation. The problem involves designing a real-time power control strategy for the integrated assets to collectively track the assigned frequency regulation signal, as well as developing a market planning strategy that determines the best baseload and capacity (regulation up/down) values over a multi-hour operating period to minimize energy cost and maximize regulation service revenue. A two-layer hierarchical power management framework is proposed, which enables a systematic design of both the tracking control and market planning problems. The proposed framework is evaluated based on real workload, regulation signal, and market data. The simulation results indicate that the regulation signal can be accurately tracked, and our scheme outperforms other designs that manage different regulation assets separately.
Keywords
computer centres; electric vehicles; frequency control; power control; power grids; power markets; power system control; power system planning; real-time systems; PEVs; energy cost minimization; energy market participation; frequency regulation signal; integrated power management; large scale data centers; market data; market planning strategy; multihour operating period; plug-in electric vehicles; power consumption; power grid frequency; real workload; real-time power control strategy; regulation asset management; regulation market participation; regulation service revenue maximization; systematic design; tracking control; two-layer hierarchical power management framework; Batteries; Frequency control; Planning; Power demand; Real-time systems; Servers; Uninterruptible power systems; Ancillary service market; data center power management; demand response; energy market; frequency regulation; plug-in electric vehicles;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2014.2321519
Filename
6834834
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