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Smart Distributed Energy Storage Controller (smartDESC)

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Listed:
  • Malandra, F.
  • Kizilkale, A.C.
  • Sirois, F.
  • Sansò, B.
  • Anjos, M.F.
  • Bernier, M.
  • Gendreau, M.
  • Malhamé, R.P.

Abstract

While the storage properties and the anticipation potential of many classes of power system loads (such as thermal loads) can be exploited to mitigate renewable sources variability, the challenge to do so in an optimal and coherent manner is significant. This is due to the sheer number and dynamic diversity of the loads that can be involved in any large-scale application. The smartDESC concept is a control architecture that was developed for this purpose. It builds on the more pervasive communication means currently available (such as Advanced Metering Infrastructures), as well as the mathematical tools of (i) aggregate load modeling, (ii) renewable energy forecasting, (iii) optimization theory, deterministic or stochastic, and (iv) some recent developments in control of large-scale systems based on game theory, and so-called mean-field (MF) control theory, which allow a scalable yet optimal approach to the decentralized control of large pools of loads. This paper presents the building blocks of the smartDESC architecture, together with an associated simulator and simulation results.

Suggested Citation

  • Malandra, F. & Kizilkale, A.C. & Sirois, F. & Sansò, B. & Anjos, M.F. & Bernier, M. & Gendreau, M. & Malhamé, R.P., 2020. "Smart Distributed Energy Storage Controller (smartDESC)," Energy, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:energy:v:210:y:2020:i:c:s036054422031608x
    DOI: 10.1016/j.energy.2020.118500
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    References listed on IDEAS

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    Cited by:

    1. Li, Li & Dong, Mi & Song, Dongran & Yang, Jian & Wang, Qibing, 2022. "Distributed and real-time economic dispatch strategy for an islanded microgrid with fair participation of thermostatically controlled loads," Energy, Elsevier, vol. 261(PB).
    2. Pied, Marie & Anjos, Miguel F. & Malhamé, Roland P., 2020. "A flexibility product for electric water heater aggregators on electricity markets," Applied Energy, Elsevier, vol. 280(C).
    3. Yang, Yulong & Zhao, Yang & Yan, Gangui & Mu, Gang & Chen, Zhe, 2024. "Real time aggregation control of P2H loads in a virtual power plant based on a multi-period stackelberg game," Energy, Elsevier, vol. 303(C).

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