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Smart Distributed Energy Storage Controller (smartDESC)

Author

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

    as
    1. Lion Hirth & Inka Ziegenhagen, 2013. "Control Power and Variable Renewables A Glimpse at German Data," Working Papers 2013.46, Fondazione Eni Enrico Mattei.
    2. Hughes, Larry, 2010. "Meeting residential space heating demand with wind-generated electricity," Renewable Energy, Elsevier, vol. 35(8), pages 1765-1772.
    3. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    4. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Energy and uncertainty management through domestic demand response in the residential building," Energy, Elsevier, vol. 192(C).
    5. Marczinkowski, Hannah Mareike & Østergaard, Poul Alberg, 2018. "Residential versus communal combination of photovoltaic and battery in smart energy systems," Energy, Elsevier, vol. 152(C), pages 466-475.
    6. Ciupăgeanu, Dana-Alexandra & Lăzăroiu, Gheorghe & Barelli, Linda, 2019. "Wind energy integration: Variability analysis and power system impact assessment," Energy, Elsevier, vol. 185(C), pages 1183-1196.
    7. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
    8. Kovač, Marko & Stegnar, Gašper & Al-Mansour, Fouad & Merše, Stane & Pečjak, Andrej, 2019. "Assessing solar potential and battery instalment for self-sufficient buildings with simplified model," Energy, Elsevier, vol. 173(C), pages 1182-1195.
    9. Cai, Hanmin & Thingvad, Andreas & You, Shi & Marinelli, Mattia, 2020. "Experimental evaluation of an integrated demand response program using electric heat boosters to provide multi-system services," Energy, Elsevier, vol. 193(C).
    10. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    11. Bostan, Alireza & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Catalão, João P.S., 2020. "An integrated optimization framework for combined heat and power units, distributed generation and plug-in electric vehicles," Energy, Elsevier, vol. 202(C).
    12. Adham I. Tammam & Miguel F. Anjos & Michel Gendreau, 2020. "Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters," Annals of Operations Research, Springer, vol. 292(2), pages 753-770, September.
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    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).

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