Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2745844.2745884acmconferencesArticle/Chapter ViewAbstractPublication PagesmetricsConference Proceedingsconference-collections
poster

Pricing Bilateral Electricity Trade between Smart Grids and Hybrid Green Datacenters

Authors Info & Claims
Published:15 June 2015Publication History

ABSTRACT

Datacenter demand response is envisioned as a promising approach for mitigating operational instability faced by smart grids. It enables significant potentials in peak load shedding and facilitates the incorporation of distributed generation and intermittent energy sources. This work considers two key aspects towards realtime electricity pricing for eliciting demand response: (i) Two-way electricity flow between smart grids and large datacenters with hybrid green generation capabilities. (ii) The geo-distributed nature of large cloud systems, and hence the potential competition among smart grids that serve different datacenters of the cloud. We propose a pricing scheme tailored for geo-distributed green datacenters, from a multi-leader single-follower game point of view. At the cloud side, in quest for performance, scalability and robustness, the energy cost is minimized in a distributed manner, based on the technique of alternating direction of multipliers (ADMM). At the smart grid side, a practical equilibrium of the pricing game is desired. To this end, we employ mathematical programming with equilibrium constraints (MPEC), equilibrium problem with equilibrium constraints (EPEC) and exact linearization, to transform the multi-leader single-follower pricing game into a mixed integer linear program (MILP) that can be readily solved. The effectiveness of the proposed solutions is evaluated based on trace-driven simulations.

References

  1. S. A. Gabriel, A. J. Conejo, J. D. Fuller, B. F. Hobbs, and C. Ruiz. Complementarity modeling in energy markets. International Series in Operations Research and Management Science, 180:1--629, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. F. Kong, X. Liu, and L. Rao. GreenPlanning: Optimal Energy Source Selection and Capacity Planning for Green Datacenters. In Proc. of ACM SIGMETRICS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Z. Liu, I. Liu, S. Low, and A. Wierman. Pricing Data Center Demand Response. In Proc. of ACM SIGMETRICS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Z. Zhou, F. Liu, B. Li, B. Li, H. Jin, R. Zou, and Z. Liu. Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study. In Proc. of IEEE ICDCS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Z. Zhou, F. Liu, Z. Li, and H. Jin. When Smart Grid Meets Geo-distributed Cloud: An Auction Approach to Datacenter Demand Response. In Proc. of IEEE INFOCOM, 2015.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Pricing Bilateral Electricity Trade between Smart Grids and Hybrid Green Datacenters

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            SIGMETRICS '15: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
            June 2015
            488 pages
            ISBN:9781450334860
            DOI:10.1145/2745844

            Copyright © 2015 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 15 June 2015

            Check for updates

            Qualifiers

            • poster

            Acceptance Rates

            SIGMETRICS '15 Paper Acceptance Rate32of239submissions,13%Overall Acceptance Rate459of2,691submissions,17%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader