 Smart Distributed Energy Storage Controller (smartDESC)F. Malandra, A.C. Kizilkale, F. Sirois, B. Sansò, M.F. Anjos, M. Bernier, M. Gendreau and R.P. Malhamé Energy, 2020, vol. 210, issue C 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. Keywords: Mean-field; Distributed control; Energy storage; Smart grid; Electric water heater; Advanced metering infrastructure (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:210:y:2020:i:c:s036054422031608x DOI: 10.1016/j.energy.2020.118500 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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