TY - JOUR
T1 - Planning of Distributed Internet Data Center Microgrids
AU - Qi, Wenbo
AU - Li, Jie
AU - Liu, Yaoqing
AU - Liu, Chen
N1 - Funding Information:
Manuscript received October 3, 2016; revised May 16, 2017 and August 9, 2017; accepted September 6, 2017. Date of publication September 13, 2017; date of current version December 19, 2018. This work was supported in part by the Department of Energy/EPRI under Grant DE-FOA-0000152, and in part by the U.S. National Science Foundation under Grant ECCS-1653179. Paper no. TSG-01366-2016. (Corresponding author: Jie Li.) The authors are with ECE Department, Clarkson University, Potsdam, NY 13699 USA (e-mail: qiw@clarkson.edu; jieli@clarkson.edu; liu@clarkson.edu; cliu@clarkson.edu). Digital Object Identifier 10.1109/TSG.2017.2751756
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2019/1
Y1 - 2019/1
N2 - This paper proposed an optimal planning model for locational distributed Internet data centers' (IDCs) computing and power supply infrastructures - IDC microgrids. The objective is to determine the optimal IDC sites, microgrid types (i.e., ac, dc, or Hybrid), IDC server types (ac or dc) and capacities, as well as onsite distributed energy resource types and capacities of each site to be built, under a single decision criterion - economics. The overall planning cost including investment cost, operation cost, and reliability cost associated with the IDC microgrid installation and operation is minimized. Both the long term investment and short term operation details of distributed data center microgrids are studied and modeled in the proposed integrated planning problem. Numerical simulations demonstrate the effectiveness of the proposed model over a 4-year planning horizon considering the evolution of data center servers. Factors which may impact the planning decisions are analyzed through a set of detailed sensitivity analysis.
AB - This paper proposed an optimal planning model for locational distributed Internet data centers' (IDCs) computing and power supply infrastructures - IDC microgrids. The objective is to determine the optimal IDC sites, microgrid types (i.e., ac, dc, or Hybrid), IDC server types (ac or dc) and capacities, as well as onsite distributed energy resource types and capacities of each site to be built, under a single decision criterion - economics. The overall planning cost including investment cost, operation cost, and reliability cost associated with the IDC microgrid installation and operation is minimized. Both the long term investment and short term operation details of distributed data center microgrids are studied and modeled in the proposed integrated planning problem. Numerical simulations demonstrate the effectiveness of the proposed model over a 4-year planning horizon considering the evolution of data center servers. Factors which may impact the planning decisions are analyzed through a set of detailed sensitivity analysis.
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U2 - 10.1109/TSG.2017.2751756
DO - 10.1109/TSG.2017.2751756
M3 - Article
AN - SCOPUS:85030230787
SN - 1949-3053
VL - 10
SP - 762
EP - 771
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 1
M1 - 8036246
ER -