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Risk-Constrained Operation for Internet Data Centers in Deregulated Electricity Markets
May 2014 (vol. 25 no. 5)
pp. 1306-1316
Qian Zhang, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong
Yang Cao, Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan , China
Tao Jiang, Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan , China
Liang Yu, Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan , China
In this paper, we study the problem of achieving the optimal tradeoff between operation risk and expected energy cost for Internet data center (IDC) operators in deregulated electricity markets according to the risk preferences of IDC operators. To achieve the target above, we propose a risk-constrained stochastic programming decision framework. Then, we formulate a risk-constrained expected energy cost minimization problem with the uncertainties in spot price and workload. To solve the formulated problem, we use a decomposition-based cutting plane algorithm. Finally, extensive evaluations based on real-life data show the effectiveness of the proposed decision framework.
Index Terms:
Electricity,Uncertainty,Power demand,Servers,Stochastic processes,Programming,Electricity supply industry,stochastic programming,Internet data center,uncertainty,operation risk,energy cost
Citation:
Qian Zhang, Yang Cao, Tao Jiang, Liang Yu, "Risk-Constrained Operation for Internet Data Centers in Deregulated Electricity Markets," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 5, pp. 1306-1316, May 2014, doi:10.1109/TPDS.2013.2297095
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