Models and Control Strategies for Data Centers in the Smart Grid

Part of the Power Electronics and Power Systems book series (PEPS, volume 3)


This chapter discusses the challenges and the possibilities offered by controlling a data center as a node of the smart-grid. The communication between the grid and the data center takes the form of a time-varying and power-consumption-dependent electricity price. A model that considers both the computational and the physical characteristics of a data center, as well as their interactions, is proposed. Two control approaches are discussed. The first control approach does not consider the interaction between the computational and the thermal characteristics of a data center. We call such a control approach uncoordinated. The second controller considers the coupling between the computational and the thermal characteristics. We call such a control approach coordinated. Simulation results, discussed at the end of the chapter, show that the coordinated control approach can lead to larger income for data center operators than the uncoordinated approach.


Power Consumption Data Center Electricity Price Average Power Consumption Thermal Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors thank the research group at the Parallel Data Lab of Carnegie Mellon University Pittsburgh, PA, and the researchers at the Sustainable Ecosystem Research Group of HP Labs, Palo Alto, CA, for the helpful discussions and useful advices on modeling and control of data centers.

This material is based upon work partially supported by the National Science Foundation under Grant ECCS 0925964. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Luca Parolini
    • 1
  • Bruno Sinopoli
    • 1
  • Bruce H. Krogh
    • 1
  1. 1.Carnegie Mellon UniversityPittsburghUSA

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