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GridLAB‐D: An Agent‐Based Simulation Framework for Smart Grids

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Listed:
  • David P. Chassin
  • Jason C. Fuller
  • Ned Djilali

Abstract

Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. As a result, the US Department of Energy’s Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB‐D that uses an agent‐based approach to simulating smart grids. This paper presents the numerical methods and approach to time‐series simulation used by GridLAB‐D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.

Suggested Citation

  • David P. Chassin & Jason C. Fuller & Ned Djilali, 2014. "GridLAB‐D: An Agent‐Based Simulation Framework for Smart Grids," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:492320
    DOI: 10.1155/2014/492320
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    References listed on IDEAS

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    1. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    2. Robert Wilson, 2002. "Architecture of Power Markets," Econometrica, Econometric Society, vol. 70(4), pages 1299-1340, July.
    3. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
    4. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    5. Broeer, Torsten & Fuller, Jason & Tuffner, Francis & Chassin, David & Djilali, Ned, 2014. "Modeling framework and validation of a smart grid and demand response system for wind power integration," Applied Energy, Elsevier, vol. 113(C), pages 199-207.
    6. Rothkopf, Michael H., 1999. "Daily Repetition: A Neglected Factor in the Analysis of Electricity Auctions," The Electricity Journal, Elsevier, vol. 12(3), pages 60-70, April.
    7. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
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    Cited by:

    1. Hanshan Qing & Abhinav Kumar Singh & Efstratios Batzelis, 2025. "Review on Distribution System State Estimation Considering Renewable Energy Sources," Energies, MDPI, vol. 18(10), pages 1-20, May.

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