Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management

Internet data centers are booming in the last few years, leading to gigantic amount of energy consumption and greenhouse gas emission. In this paper, a data center microgrid including conventional units, energy storage, and renewable generation is modeled to optimize its electricity bill and carbon footprint. Considering the randomness of electricity price, renewable output and workload distribution, the volatility risk is incorporated to measure the associated operation risk. Then a day-ahead emission-aware stochastic resource planning scheme is formulated to decide the strategy on power procurement, energy storage operation, batch workload allocation and unit commitment of conventional units. Simulation results show the effectiveness of the proposed approach.

[1]  Tao Jiang,et al.  Joint Workload and Battery Scheduling with Heterogeneous Service Delay Guaranteesfor Data Center Energy Cost Minimization , 2015, IEEE Transactions on Parallel and Distributed Systems.

[2]  M. Shahidehpour,et al.  Security-Constrained Unit Commitment With Volatile Wind Power Generation , 2008, IEEE Transactions on Power Systems.

[3]  Hamed Mohsenian Rad,et al.  Optimal integration of renewable energy resources in data centers with behind-the-meter renewable generator , 2012, 2012 IEEE International Conference on Communications (ICC).

[4]  Xue Liu,et al.  Temporal Load Balancing with Service Delay Guarantees for Data Center Energy Cost Optimization , 2014, IEEE Transactions on Parallel and Distributed Systems.

[5]  Tao Jiang,et al.  Risk-Constrained Operation for Internet Data Centers in Deregulated Electricity Markets , 2014, IEEE Transactions on Parallel and Distributed Systems.

[6]  Xue Liu,et al.  A Survey on Geographic Load Balancing Based Data Center Power Management in the Smart Grid Environment , 2014, IEEE Communications Surveys & Tutorials.

[7]  Xin Wang,et al.  Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization , 2016, IEEE Journal of Selected Topics in Signal Processing.

[8]  Weijen Lee,et al.  A stochastic microgrid operation scheme to balance between system reliability and greenhouse gas emission , 2015, 2015 IEEE/IAS 51st Industrial & Commercial Power Systems Technical Conference (I&CPS).

[9]  Adam Wierman,et al.  Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[10]  Adam Wierman,et al.  Energy Portfolio Optimization of Data Centers , 2017, IEEE Transactions on Smart Grid.

[11]  Tao Jiang,et al.  Risk-constrained operation for internet data centers under smart grid environment , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[12]  Jie Li,et al.  Towards optimal coordinated operation of distributed internet data center microgrids , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[13]  Christian Belady,et al.  GREEN GRID DATA CENTER POWER EFFICIENCY METRICS: PUE AND DCIE , 2008 .

[14]  Qianfan Wang,et al.  A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output , 2012, 2012 IEEE Power and Energy Society General Meeting.

[15]  Yong Qi,et al.  Carbon-Aware Electricity Cost Minimization for Sustainable Data Centers , 2017, IEEE Transactions on Sustainable Computing.

[16]  Tao Jiang,et al.  Distributed Real-Time Energy Management in Data Center Microgrids , 2016, IEEE Transactions on Smart Grid.

[17]  Tao Jiang,et al.  Carbon-Aware Energy Cost Minimization for Distributed Internet Data Centers in Smart Microgrids , 2014, IEEE Internet of Things Journal.

[18]  Furong Li,et al.  Assessment of marginal emissions factor in power systems under ramp-rate constraints , 2015 .

[19]  Nagarajan Kandasamy,et al.  Datacenters as Controllable Load Resources in the Electricity Market , 2013, 2013 IEEE 33rd International Conference on Distributed Computing Systems.

[20]  R. Rockafellar,et al.  Optimization of conditional value-at risk , 2000 .

[21]  Xue Liu,et al.  Hedging Against Uncertainty: A Tale of Internet Data Center Operations Under Smart Grid Environment , 2011, IEEE Transactions on Smart Grid.

[22]  Xu Wang,et al.  A Microgrid Energy Management System and Risk Management Under an Electricity Market Environment , 2016, IEEE Access.

[23]  Adam Wierman,et al.  Renewable and cooling aware workload management for sustainable data centers , 2012, SIGMETRICS '12.

[24]  Zhi Chen,et al.  Electric Demand Response Management for Distributed Large-Scale Internet Data Centers , 2014, IEEE Transactions on Smart Grid.

[25]  Jie Li,et al.  Toward Optimal Operation of Internet Data Center Microgrid , 2018, IEEE Transactions on Smart Grid.

[26]  Hai Jin,et al.  Carbon-Aware Load Balancing for Geo-distributed Cloud Services , 2013, 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems.